> getwd()
[1] "/Users/Devin/Dropbox/shared/work/Honor/Replication-Final/4-Analysis/out"
> mysw(home.dir, "3-Analysis-Data")
> mid1 <- read.dta("15-03-13-USMIDs1.dta")
> mid2 <- read.dta("15-03-13-USMIDs2.dta")
> mid3 <- read.dta("15-03-13-USMIDs3.dta")
> mid4 <- read.dta("15-03-13-USMIDs4.dta")
> match.ls <- list()
> balance.ls <- list()
> result.df <- data.frame(SouthCoding = character(1), MID_subset = character(1), 
+ cov_set = character(1), replace = character(1), test_stat = character(1), 
+ ForceUS_T0 = numeric(1), DurationUS_T0 = numeric(1), OutcomeUS_T0 = numeric(1), 
+ ForceUS_p = numeric(1), DurationUS_p = numeric(1), OutcomeUS_p = numeric(1), 
+ ForceUS_p_adj = numeric(1), DurationUS_p_adj = numeric(1), 
+ OutcomeUS_p_adj = numeric(1), global_p = numeric(1))
> mysw(home.dir, "4-Analysis/save")
> result.file <- FileName("Results", "", "dta")

File name: Results150421-a.dta 

> SouthCode <- 1
> for (SouthCode in SouthCode:4) {
+ SouthLabel <- c("original", "Truman in", "Bush out", "Bush out and Truman in")[SouthCode]
+ cat("\n*** South Coding:", SouthLabel, "***\n")
+ mid <- list(mid1, mid2, mid3, mid4)[[SouthCode]]
+ ls()
+ mid$LeaderName <- Recode(mid$Leader, "\n'AdamsJ' = 'Adams, J.';\n'AdamsJQ' = 'Adams, J. Q.';\n'BushGHW' = 'Bush, G. H. W.';\n'BushGW' = 'Bush, G. W.';\n'HarrisonB' = 'Harrison, B.';\n'HarrisonWH' = 'Harrison, W.';\n'JohnsonA' = 'Johnson, A.';\n'JohnsonLB' = 'Johnson, L.';\n'RooseveltFD' = 'Roosevelt, F.';\n'RooseveltT' = 'Roosevelt, T.';\n'Van_Buren' = 'Van Buren'\n")
+ mid <- mutate(mid, EndedWithinTerm = Pres2 == "", nonfishing = FishDisp == 
+ 
+ 0 & !is.na(FishDisp), primary = Primary == 1 & FishDisp == 
+ 
+ 0 & !is.na(Primary), bilateral = BothAlone == 1 & FishDisp == 
+ 
+ 0 & !is.na(BothAlone), in.data = TermEndDate1 > as.Date("1816-01-01") & 
+ 
+ TermStartDate1 < as.Date("2010-06-01"), non0nofish = nMIDsNoF > 
+ 
+ 0 & !is.na(nMIDsNoF), non0prim = nMIDsPrim > 0 & !is.na(nMIDsPrim), 
+ 
+ non0bilat = nMIDsAlone > 0 & !is.na(nMIDsAlone), lf = LeaderOb == 
+ 
+ 
+ 1 & non0nofish, lp = LeaderOb == 1 & non0prim, lb = LeaderOb == 
+ 
+ 
+ 1 & non0bilat, SouthFactor = factor(ifelse(South1 == 
+ 
+ 
+ 0, "Non-Southern", "Southern")))
+ mysw(home.dir, "4-Analysis")
+ SourceLatest("CreateVars", echo = TRUE, max.deparse.length = Inf)
+ Y.df <- subset(mid, , c(ForceUS, DurationUS, OutcomeUS))
+ placebo5 <- subset(mid, , c(ForceUS.prop.prev5, ave.duration.prev5, 
+ 
+ ave.outcome.prev5))
+ placebo10 <- subset(mid, , c(ForceUS.prop.prev10, ave.duration.prev10, 
+ 
+ ave.outcome.prev10))
+ placebo5log <- subset(mid, , c(ForceUS.prop.prev5, ave.log.duration.prev5, 
+ 
+ ave.outcome.prev5))
+ placebo10log <- subset(mid, , c(ForceUS.prop.prev10, ave.log.duration.prev10, 
+ 
+ ave.outcome.prev10))
+ log.placebo <- data.frame(placebo5log, placebo10log)
+ basic.covs <- subset(mid, , c(great.power, super.power, TermStartYear, 
+ 
+ ongoing.mid, log.yrs.since.war, nMIDs.prev5, TermYrsAdj))
+ struct.covs <- data.frame(basic.covs, log.placebo, subset(mid, 
+ 
+ , c(ongoing.war, log.war.dead.pct, elitevet.imput, South1.prev, 
+ 
+ 
+ nMIDs.prev10)))
+ party.covs <- data.frame(struct.covs, subset(mid, , c(DemDR, 
+ 
+ Whig)))
+ inTerm.covs <- data.frame(party.covs, subset(mid, , c(proprec, 
+ 
+ unified)))
+ full.covs <- data.frame(inTerm.covs, subset(mid, , c(military.experience, 
+ 
+ nMIDsPrim)))
+ set.seed(1)
+ mid <- mutate(mid, jit = rnorm(nrow(mid), 0, 0.1), TermMidDate = as.Date((as.numeric(TermStartDate1) + 
+ 
+ as.numeric(TermEndDate1))/2, origin = "1970-01-01"))
+ (mid.plot <- ggplot(subset(mid, nonfishing)) + geom_rect(aes(xmin = TermStartDate1, 
+ 
+ xmax = TermEndDate1, ymin = 0.5, ymax = 5.5, fill = SouthFactor)) + 
+ 
+ geom_segment(aes(x = TermStartDate1, xend = TermStartDate1, 
+ 
+ 
+ y = 0.5, yend = 5.5), size = 0.1) + geom_segment(aes(x = TermEndDate1, 
+ 
+ xend = TermEndDate1, y = 0.5, yend = 5.5), size = 0.1) + 
+ 
+ geom_text(aes(x = TermMidDate, y = 5.52, label = gsub("_", 
+ 
+ 
+ " ", LeaderName)), angle = 90, hjust = 0, size = 2, 
+ 
+ 
+ data = subset(mid, lb)) + scale_fill_manual(values = c("white", 
+ 
+ "grey80")) + scale_x_date(breaks = as.Date(c("1816-01-01", 
+ 
+ "1896-01-01", "1945-01-01", "2011-01-01")), labels = scales:::date_format("%Y")) + 
+ 
+ scale_y_continuous(breaks = 1:5, labels = c("None", "Threat", 
+ 
+ 
+ "Show", "Use", "War")) + scale_shape_manual(values = c(0, 
+ 
+ 1, 2)) + scale_alpha_continuous(range = c(0.5, 1)) + 
+ 
+ labs(x = NULL, y = "US Hostility Level", fill = "President") + 
+ 
+ theme_bw() + theme(panel.grid.major = element_blank(), 
+ 
+ panel.grid.minor = element_blank()) + expand_limits(y = 6) + 
+ 
+ guides(alpha = FALSE))
+ mysw(home.dir, "5-Figures")
+ pdf(file = FileName("NofishMIDs1-", "", "pdf", replace = TRUE), 
+ 
+ width = 9, height = 5)
+ print(mid.plot + geom_point(aes(x = StartDateUS, y = hostlev + 
+ 
+ jit, shape = outcome, color = outcome, alpha = BothAlone), 
+ 
+ size = 3) + geom_point(aes(x = StartDateUS, y = hostlev + 
+ 
+ jit, alpha = BothAlone), size = 0.5))
+ dev.off()
+ mysw(home.dir, "5-Figures")
+ pdf(file = FileName("NofishMIDs2-", "", "pdf", replace = TRUE), 
+ 
+ width = 9, height = 5)
+ print(mid.plot + geom_segment(aes(y = hostlev + jit, yend = hostlev + 
+ 
+ jit, alpha = Primary, x = StartDateUS, xend = EndDateUS, 
+ 
+ color = outcome), size = 0.5, show_guide = FALSE) + geom_point(aes(x = EndDateUS, 
+ 
+ y = hostlev + jit, alpha = Primary, shape = outcome, 
+ 
+ color = outcome), size = 3) + geom_point(aes(x = StartDateUS, 
+ 
+ y = hostlev + jit, alpha = Primary), size = 0.5))
+ dev.off()
+ print(pres.prim.df <- group_by(subset(mid, Primary == 1), 
+ 
+ LeaderName) %>% summarise(Region = gsub("ern", "", unique(as.character(SouthFactor))), 
+ 
+ MIDs = n(), Force = mean(ForceUS), Duration = mean(DurationUS), 
+ 
+ Outcome = mean(OutcomeUS)))
+ pres.prim.melt <- melt(pres.prim.df, id.vars = c("LeaderName", 
+ 
+ "Region", "MIDs"))
+ mysw(home.dir, "5-Figures")
+ pdf(file = FileName("PresSummaryPrimary", "", "pdf", replace = TRUE), 
+ 
+ width = 9, height = 5)
+ print(ggplot(pres.prim.melt) + facet_wrap(~variable, scales = "free_y") + 
+ 
+ aes(x = Region, y = value) + geom_boxplot(outlier.colour = "white") + 
+ 
+ geom_point(aes(size = MIDs), shape = 1, alpha = 1/3) + 
+ 
+ stat_summary(aes(y = value, w = MIDs), fun.y = mean, 
+ 
+ 
+ geom = "point", size = 4, shape = 5, color = "black") + 
+ 
+ scale_size(range = c(2, 10)) + theme_bw() + theme(panel.grid.major = element_blank(), 
+ 
+ panel.grid.minor = element_blank()) + labs(x = NULL, 
+ 
+ y = NULL, size = "# MIDs"))
+ dev.off()
+ (pres.alone.df <- group_by(subset(mid, BothAlone == 1), LeaderName) %>% 
+ 
+ summarise(Region = unique(as.character(SouthFactor)), 
+ 
+ 
+ MIDs = n(), Force = mean(ForceUS), Duration = mean(DurationUS), 
+ 
+ 
+ Outcome = mean(OutcomeUS)))
+ pres.alone.melt <- melt(pres.alone.df, id.vars = c("LeaderName", 
+ 
+ "Region", "MIDs"))
+ pres.alone.melt <- ddply(pres.alone.melt, ~Region + variable + 
+ 
+ value, mutate, label = ifelse(length(LeaderName) > 5, 
+ 
+ paste(as.numeric(LeaderName), collapse = "\n"), paste(as.numeric(LeaderName), 
+ 
+ 
+ collapse = ", ")), alpha = 1/n())
+ mysw(home.dir, "5-Figures")
+ pdf(file = FileName("PresSummaryBilateral", "", "pdf", replace = TRUE), 
+ 
+ width = 9, height = 5)
+ print(ggplot(pres.alone.melt) + facet_wrap(~variable, scales = "free_y") + 
+ 
+ aes(x = Region, y = value) + geom_boxplot(outlier.colour = "white") + 
+ 
+ geom_point(aes(size = MIDs), shape = 1, alpha = 1/3) + 
+ 
+ stat_summary(aes(y = value, w = MIDs), fun.y = mean, 
+ 
+ 
+ geom = "point", size = 4, shape = 5, color = "black") + 
+ 
+ scale_size(range = c(2, 10)) + theme_bw() + theme(panel.grid.major = element_blank(), 
+ 
+ panel.grid.minor = element_blank()) + labs(x = NULL, 
+ 
+ y = NULL, size = "# MIDs"))
+ dev.off()
+ set.seed(1)
+ (ggplot(data = mutate(pres.alone.df, Outcome = jitter(Outcome, 
+ 
+ 20))) + geom_text(aes(x = Force, y = Outcome, size = MIDs^(1/5), 
+ 
+ label = LeaderName, color = Region), alpha = 1) + scale_size(range = c(2, 
+ 
+ 6)) + theme_bw() + scale_x_continuous(breaks = c(0, 0.5, 
+ 
+ 1), limits = c(-0.1, 1.1)) + theme(panel.grid.major = element_blank(), 
+ 
+ panel.grid.minor = element_blank()) + guides(size = FALSE, 
+ 
+ color = FALSE))
+ set.seed(1)
+ (ggplot(data = mutate(pres.alone.df, Outcome = jitter(Outcome, 
+ 
+ 20))) + geom_text(aes(x = Duration, y = Outcome, size = MIDs^(1/5), 
+ 
+ label = LeaderName, color = Region), alpha = 1) + scale_size(range = c(2, 
+ 
+ 6)) + theme_bw() + scale_x_continuous(breaks = c(0, 100, 
+ 
+ 200, 300), limits = c(-20, 300)) + theme(panel.grid.major = element_blank(), 
+ 
+ panel.grid.minor = element_blank()) + guides(size = FALSE, 
+ 
+ color = FALSE))
+ nonwhite.countries <- c("COL", "MEX", "UKG", "AUH", "CHL", 
+ 
+ "JPN", "BRA", "HAI", "CHN", "GUA", "DOM", "MOR", "NIC", 
+ 
+ "CUB", "TUR", "PAN", "SAL", "HON", "TAW", "PRK", "ECU", 
+ 
+ "EGY", "SYR", "DRV", "YAR", "CAM", "GUI", "LIB", "IRN", 
+ 
+ "YPR", "GRN", "IRQ", "SUD", "AFG", "LBR", "VEN", "PER", 
+ 
+ "PAK", "CDI", "SOM", "INS")
+ mid$nonwhite <- with(mid, laply(opps, function(op) {
+ 
+ as.numeric(any(laply(nonwhite.countries, grepl, x = op, 
+ 
+ 
+ fixed = TRUE)))
+ 
+ }))
+ print(summary(lmer(nonwhite ~ South1 + (1 | Leader), data = subset(mid, 
+ 
+ bilateral))))
+ print(summary(lmer(nonwhite ~ South1 + (1 | Leader), data = subset(mid, 
+ 
+ primary))))
+ print(summary(lmer(nonwhite ~ South1 + (1 | Leader), data = subset(mid, 
+ 
+ nonfishing))))
+ HierLogit <- function(y, tr, tl, event, cluster, ...) {
+ 
+ mod <- glmer(y ~ factor(tr == tl) + (1 | cluster), family = binomial("logit"))
+ 
+ fixef(mod)[2]/sqrt(vcov(mod)[2, 2])
+ 
+ }
+ HierCoxPH <- function(y, tr, tl, event, cluster, ...) {
+ 
+ mod <- coxme(Surv(y, event) ~ factor(tr == tl) + (1 | 
+ 
+ 
+ cluster))
+ 
+ -fixef(mod)/sqrt(vcov(mod))
+ 
+ }
+ HierGauss <- function(y, tr, tl, event, cluster, ...) {
+ 
+ mod <- lmer(y ~ factor(tr == tl) + (1 | cluster))
+ 
+ fixef(mod)[2]/sqrt(vcov(mod)[2, 2])
+ 
+ }
+ DiffMeanRank <- function(y, tr, tl, ...) {
+ 
+ Ri <- rank(y)
+ 
+ return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != 
+ 
+ 
+ tl]))
+ 
+ }
+ mean.tests <- list("DiffMeans", "DiffMeans", "DiffMeans")
+ harm.tests <- list("HarmonicWtdMean", "HarmonicWtdMean", 
+ 
+ "HarmonicWtdMean")
+ rank.tests <- list("DiffMeanRank", "LogRank", "DiffMeanRank")
+ hier.tests <- list("HierLogit", "HierCoxPH", "HierGauss")
+ test.ls <- list(mean = mean.tests, harmonic = harm.tests, 
+ 
+ rank = rank.tests, hlm = hier.tests)
+ cov.ls <- list(NULL, log.placebo, basic.covs, struct.covs, 
+ 
+ party.covs, inTerm.covs, full.covs)
+ names(cov.ls) <- c("none", "log.placebo", "basic.covs", "struct.covs", 
+ 
+ "party.covs", "inTerm.covs", "full.covs")
+ subset.ls <- list(bilateral = mid$bilateral, primary = mid$primary)
+ replace.ls <- list(FALSE, TRUE)
+ s <- v <- r <- t <- 1
+ for (s in 1:length(subset.ls)) {
+ 
+ sum(ms <- subset.ls[[s]])
+ 
+ for (v in 1:length(cov.ls)) {
+ 
+ 
+ summary(mc <- cov.ls[[v]])
+ 
+ 
+ for (r in 1:length(replace.ls)) {
+ 
+ 
+ 
+ (rs <- replace.ls[[r]])
+ 
+ 
+ 
+ if (is.null(mc)) {
+ 
+ 
+ 
+   for (t in 1:length(test.ls)) {
+ 
+ 
+ 
+ 
+ (ts <- test.ls[[t]])
+ 
+ 
+ 
+ 
+ cat("\n***", names(subset.ls)[s], names(cov.ls)[v], 
+ 
+ 
+ 
+ 
+   rs, names(test.ls)[t], "***\n")
+ 
+ 
+ 
+ 
+ if (rs == TRUE || names(test.ls)[t] == "harmonic") 
+ 
+ 
+ 
+ 
+   next
+ 
+ 
+ 
+ 
+ npc <- NPC(data = mid[ms, ], test.statistic = ts, 
+ 
+ 
+ 
+ 
+   alternative = "greater", tr.var = "SouthFactor", 
+ 
+ 
+ 
+ 
+   tr.label = "Southern", clust.var = "Leader", 
+ 
+ 
+ 
+ 
+   event.var = "EndedWithinTerm", y.vars = names(Y.df), 
+ 
+ 
+ 
+ 
+   comb.fun = "NormalCF", FWE.adj = TRUE, 
+ 
+ 
+ 
+ 
+   na.rm = TRUE, return.matrix = TRUE, n.perms = 1000, 
+ 
+ 
+ 
+ 
+   seed = 1, print.steps = FALSE)
+ 
+ 
+ 
+ 
+ print(T0 <- npc$T.matrix["T0", ])
+ 
+ 
+ 
+ 
+ print(pv <- npc$p.values)
+ 
+ 
+ 
+ 
+ res <- data.frame(SouthCoding = SouthLabel, 
+ 
+ 
+ 
+ 
+   MID_subset = names(subset.ls)[s], cov_set = names(cov.ls)[v], 
+ 
+ 
+ 
+ 
+   replace = NA, test_stat = names(test.ls)[t], 
+ 
+ 
+ 
+ 
+   ForceUS_T0 = T0[1], DurationUS_T0 = T0[2], 
+ 
+ 
+ 
+ 
+   OutcomeUS_T0 = T0[3], ForceUS_p = pv[1], 
+ 
+ 
+ 
+ 
+   DurationUS_p = pv[2], OutcomeUS_p = pv[3], 
+ 
+ 
+ 
+ 
+   ForceUS_p_adj = pv[4], DurationUS_p_adj = pv[5], 
+ 
+ 
+ 
+ 
+   OutcomeUS_p_adj = pv[6], global_p = pv[7])
+ 
+ 
+ 
+ 
+ rownames(res) <- NULL
+ 
+ 
+ 
+ 
+ mysw(home.dir, "4-Analysis/save")
+ 
+ 
+ 
+ 
+ if (result.file %in% list.files()) {
+ 
+ 
+ 
+ 
+   old.results <- read.dta(result.file)
+ 
+ 
+ 
+ 
+   result.df <- rbind(old.results, res)
+ 
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ 
+ else {
+ 
+ 
+ 
+ 
+   result.df <- res
+ 
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ 
+ write.dta(result.df, file = result.file, 
+ 
+ 
+ 
+ 
+   convert.factors = "string")
+ 
+ 
+ 
+ 
+ flush.console()
+ 
+ 
+ 
+   
+ }
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ if (!is.null(mc)) {
+ 
+ 
+ 
+   cat("\n***", names(subset.ls)[s], names(cov.ls)[v], 
+ 
+ 
+ 
+ 
+ rs, "***\n")
+ 
+ 
+ 
+   if (names(subset.ls)[s] == "bilateral") 
+ 
+ 
+ 
+ 
+ l1 <- mid$lb
+ 
+ 
+ 
+   if (names(subset.ls)[s] == "primary") 
+ 
+ 
+ 
+ 
+ l1 <- mid$lp
+ 
+ 
+ 
+   set.seed(1)
+ 
+ 
+ 
+   gen.out <- GenMatch(Tr = mid$South1[l1], X = mc[l1, 
+ 
+ 
+ 
+ 
+ ], estimand = "ATT", wait.generations = 10, 
+ 
+ 
+ 
+ 
+ pop.size = 10000, replace = rs, print = 1, 
+ 
+ 
+ 
+ 
+ M = 1)
+ 
+ 
+ 
+   mat.out <- Match(Y = NULL, Tr = mid$South1[l1], 
+ 
+ 
+ 
+ 
+ X = mc[l1, ], estimand = "ATT", Weight.matrix = gen.out, 
+ 
+ 
+ 
+ 
+ M = 1, replace = rs)
+ 
+ 
+ 
+   ind.t <- mat.out$index.treated
+ 
+ 
+ 
+   ind.c <- mat.out$index.control
+ 
+ 
+ 
+   ind.tc <- c(ind.t, ind.c)
+ 
+ 
+ 
+   obs.t <- numeric()
+ 
+ 
+ 
+   obs.c <- numeric()
+ 
+ 
+ 
+   pair.t <- numeric()
+ 
+ 
+ 
+   pair.c <- numeric()
+ 
+ 
+ 
+   for (i in seq_along(ind.t)) {
+ 
+ 
+ 
+ 
+ lti <- mid$Leader == mid$Leader[l1][ind.t][i]
+ 
+ 
+ 
+ 
+ lci <- mid$Leader == mid$Leader[l1][ind.c][i]
+ 
+ 
+ 
+ 
+ pair.t <- c(pair.t, rep(i, sum(lti & ms)))
+ 
+ 
+ 
+ 
+ pair.c <- c(pair.c, rep(i, sum(lci & ms)))
+ 
+ 
+ 
+ 
+ obs.t <- c(obs.t, which(lti & ms))
+ 
+ 
+ 
+ 
+ obs.c <- c(obs.c, which(lci & ms))
+ 
+ 
+ 
+   
+ }
+ 
+ 
+ 
+   pair.mat <- c(pair.t, pair.c)
+ 
+ 
+ 
+   obs.mat <- c(obs.t, obs.c)
+ 
+ 
+ 
+   N.c <- sum(sapply(mid$Leader[l1][ind.c], function(l) {
+ 
+ 
+ 
+ 
+ sum(mid$Leader[ms] == l)
+ 
+ 
+ 
+   
+ }))
+ 
+ 
+ 
+   N.t <- sum(sapply(mid$Leader[l1][ind.t], function(l) {
+ 
+ 
+ 
+ 
+ sum(mid$Leader[ms] == l)
+ 
+ 
+ 
+   
+ }))
+ 
+ 
+ 
+   print(data.frame(NameS = mid$LeaderName[l1][ind.t], 
+ 
+ 
+ 
+ 
+ PrimMIDsS = mid$nMIDsPrim[l1][ind.t], AloneMIDsS = mid$nMIDsAlone[l1][ind.t], 
+ 
+ 
+ 
+ 
+ NameN = mid$LeaderName[l1][ind.c], PrimMIDsN = mid$nMIDsPrim[l1][ind.c], 
+ 
+ 
+ 
+ 
+ AloneMIDsN = mid$nMIDsAlone[l1][ind.c]))
+ 
+ 
+ 
+   mid.match <- data.frame(mid[obs.mat, ], Pair = factor(pair.mat), 
+ 
+ 
+ 
+ 
+ NorthernMatch = mid$Leader[l1][ind.c][pair.mat])
+ 
+ 
+ 
+   pres.match <- data.frame(mid[l1, ][ind.tc, 
+ 
+ 
+ 
+ 
+ ], Pair = factor(rep(seq_along(ind.t), 2)))
+ 
+ 
+ 
+   match.ls[[length(match.ls) + 1]] <- pres.match
+ 
+ 
+ 
+   names(match.ls)[length(match.ls)] <- paste(SouthLabel, 
+ 
+ 
+ 
+ 
+ names(subset.ls)[s], names(cov.ls)[v], rs, 
+ 
+ 
+ 
+ 
+ names(test.ls)[t])
+ 
+ 
+ 
+   balance.ls[[length(balance.ls) + 1]] <- MatchBalance(mid$South1[l1] ~ 
+ 
+ 
+ 
+ 
+ ., data = mc[l1, ], match.out = mat.out, 
+ 
+ 
+ 
+ 
+ nboots = 1000)
+ 
+ 
+ 
+   names(balance.ls)[length(balance.ls)] <- paste(SouthLabel, 
+ 
+ 
+ 
+ 
+ names(subset.ls)[s], names(cov.ls)[v], rs, 
+ 
+ 
+ 
+ 
+ names(test.ls)[t])
+ 
+ 
+ 
+   NPC(data = mid.match, tr.var = "SouthFactor", 
+ 
+ 
+ 
+ 
+ tr.label = "Southern", block.var = "Pair", 
+ 
+ 
+ 
+ 
+ clust.var = "Leader", event.var = "EndedWithinTerm", 
+ 
+ 
+ 
+ 
+ y.vars = rep(names(mc), 2), test.statistic = rep(c("HarmonicWtdMean", 
+ 
+ 
+ 
+ 
+   "KS"), each = ncol(mc)), alternative = "two.sided", 
+ 
+ 
+ 
+ 
+ comb.fun = "ProductCF", FWE.adj = FALSE, 
+ 
+ 
+ 
+ 
+ n.perms = 1000, seed = 1, print.steps = FALSE)
+ 
+ 
+ 
+   MatchBalance(mid$South1[l1] ~ ., data = log.placebo[l1, 
+ 
+ 
+ 
+ 
+ ], match.out = mat.out, nboots = 1000)
+ 
+ 
+ 
+   print(xBalance(South1 ~ ., report = c("all"), 
+ 
+ 
+ 
+ 
+ strata = pres.match$Pair, data = pres.match[, 
+ 
+ 
+ 
+ 
+   c("South1", names(log.placebo))]))
+ 
+ 
+ 
+   NPC(data = mid.match, tr.var = "SouthFactor", 
+ 
+ 
+ 
+ 
+ tr.label = "Southern", clust.var = "Leader", 
+ 
+ 
+ 
+ 
+ block.var = "Pair", event.var = "EndedWithinTerm", 
+ 
+ 
+ 
+ 
+ y.vars = rep(names(log.placebo), 2), test.statistic = rep(c("DiffMeans", 
+ 
+ 
+ 
+ 
+   "KS"), each = ncol(log.placebo)), alternative = "two.sided", 
+ 
+ 
+ 
+ 
+ comb.fun = "ProductCF", FWE.adj = FALSE, 
+ 
+ 
+ 
+ 
+ n.perms = 1000, seed = 1, print.steps = FALSE)
+ 
+ 
+ 
+   print(NPC(data = mid.match, tr.var = "SouthFactor", 
+ 
+ 
+ 
+ 
+ tr.label = "Southern", clust.var = "Leader", 
+ 
+ 
+ 
+ 
+ block.var = "Pair", event.var = "EndedWithinTerm", 
+ 
+ 
+ 
+ 
+ y.vars = "ForceUS", test.statistic = "DiffSumObs", 
+ 
+ 
+ 
+ 
+ alternative = "two.sided", comb.fun = "ProductCF", 
+ 
+ 
+ 
+ 
+ FWE.adj = FALSE, n.perms = 1000, seed = 1, 
+ 
+ 
+ 
+ 
+ print.steps = TRUE))
+ 
+ 
+ 
+   for (t in 1:length(test.ls)) {
+ 
+ 
+ 
+ 
+ (ts <- test.ls[[t]])
+ 
+ 
+ 
+ 
+ cat("\n***", names(test.ls)[t], "***\n")
+ 
+ 
+ 
+ 
+ npc <- NPC(data = mid.match, tr.var = "SouthFactor", 
+ 
+ 
+ 
+ 
+   tr.label = "Southern", block.var = "Pair", 
+ 
+ 
+ 
+ 
+   clust.var = "Leader", event.var = "EndedWithinTerm", 
+ 
+ 
+ 
+ 
+   y.vars = names(Y.df), test.statistic = ts, 
+ 
+ 
+ 
+ 
+   alternative = "greater", comb.fun = "NormalCF", 
+ 
+ 
+ 
+ 
+   FWE.adj = TRUE, na.rm = TRUE, return.matrix = TRUE, 
+ 
+ 
+ 
+ 
+   n.perms = 1000, seed = 1)
+ 
+ 
+ 
+ 
+ (T0 <- npc$T.matrix["T0", ])
+ 
+ 
+ 
+ 
+ (pv <- npc$p.values)
+ 
+ 
+ 
+ 
+ res <- data.frame(SouthCoding = SouthLabel, 
+ 
+ 
+ 
+ 
+   MID_subset = names(subset.ls)[s], cov_set = names(cov.ls)[v], 
+ 
+ 
+ 
+ 
+   replace = rs, test_stat = names(test.ls)[t], 
+ 
+ 
+ 
+ 
+   ForceUS_T0 = T0[1], DurationUS_T0 = T0[2], 
+ 
+ 
+ 
+ 
+   OutcomeUS_T0 = T0[3], ForceUS_p = pv[1], 
+ 
+ 
+ 
+ 
+   DurationUS_p = pv[2], OutcomeUS_p = pv[3], 
+ 
+ 
+ 
+ 
+   ForceUS_p_adj = pv[4], DurationUS_p_adj = pv[5], 
+ 
+ 
+ 
+ 
+   OutcomeUS_p_adj = pv[6], global_p = pv[7])
+ 
+ 
+ 
+ 
+ rownames(res) <- NULL
+ 
+ 
+ 
+ 
+ mysw(home.dir, "4-Analysis/save")
+ 
+ 
+ 
+ 
+ if (result.file %in% list.files()) {
+ 
+ 
+ 
+ 
+   old.results <- read.dta(result.file)
+ 
+ 
+ 
+ 
+   result.df <- rbind(old.results, res)
+ 
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ 
+ else {
+ 
+ 
+ 
+ 
+   result.df <- res
+ 
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ 
+ write.dta(result.df, file = result.file, 
+ 
+ 
+ 
+ 
+   convert.factors = "string")
+ 
+ 
+ 
+ 
+ flush.console()
+ 
+ 
+ 
+   
+ }
+ 
+ 
+ 
+ 
+ }
+ 
+ 
+ 
+ }
+ 
+ 
+ }
+ 
+ gc()
+ 
+ }
+ }

*** South Coding: original ***

Opening: CreateVars150407.R 

txt> #### RESPONSE VARIABLES
txt> ### (1) U.S. use of force in MID
txt>   summary(mid$ForceUS)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
 0.0000  0.0000  0.0000  0.3387  1.0000  1.0000       6 

txt> ### (2) Duration of MID (days, censored at end of originating president's term)
txt>   summary(mid$DurationUS <- mid$DaysInTrm1)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
    1.0     1.0    18.0   120.3   120.5  1794.0       6 

txt> ### (3) Outcome
txt>   mid$outcome <- ordered(mid$outcome, labels = c("US Loss", "Draw", "US Win"))

txt>   summary(mid$outcome)
US Loss    Draw  US Win    NA's 
     11     301      60       6 

txt>   mid$OutcomeUS <- as.numeric(mid$outcome) - 2

txt>   table(mid$outcome, mid$OutcomeUS)
         
           -1   0   1
  US Loss  11   0   0
  Draw      0 301   0
  US Win    0   0  60

txt> #### STRUCTURAL (PRE-PRESIDENCY) COVARIATES
txt>   mid <- mutate(mid, ongoing.mid = NA,
txt+                 great.power = as.integer(Era == "1897-1945" | Era == "post-1945"),
txt+                 super.power = as.integer(Era == "post-1945"))

txt> ### Ongoing MID
txt>   for (i in 1:nrow(mid)) {
txt+     last.leader <- as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1
txt+     mid$ongoing.mid[i] <- any(mid$spillover[last.leader] == 1, na.rm = TRUE)
txt+   }

txt>   mid$ongoing.mid <- as.integer(mid$ongoing.mid)

txt> ### Number of Americans killed in the last war before the president's
txt> ### (adjusted) term began:
txt>   mid$prev.war.dead <- round(exp(mid$lnprevdead), 0)

txt>   mid$prev.war.dead[mid$Leader == "HarrisonWH"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Polk"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Taylor"] <- 13283

txt>   mid$prev.war.dead[mid$Leader == "Lincoln"] <- 13283

txt>   mid$prev.war.dead[as.numeric(mid$Leader) >= 17 & as.numeric(mid$Leader) <= 24] <-
txt+     620000  ## Includes Confederate dead in Civil War

txt>   mid$prev.war.dead[mid$Leader == "JohnsonLB"] <- 36574

txt>   mid$prev.war.dead[mid$Leader == "Clinton" | mid$Leader=="BushGW"] <- 382

txt>   mid$prev.war.dead[mid$Leader == "Obama"] <- 4222

txt>   mid$log.prev.war.dead <- log(mid$prev.war.dead)

txt> ### Years since last war
txt>   mid$yrs.since.war <- rep(NA, nrow(mid))

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 4, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 5 &
txt+                                   as.numeric(mid$Leader) <= 11,
txt+                               mid$TermStartYear - 1815, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="HarrisonWH"] <- 1841 - 1815

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 12 &
txt+                                   as.numeric(mid$Leader) <= 16,
txt+                               mid$TermStartYear - 1848, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Taylor"] <- 1849 - 1848

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 17 &
txt+                                   as.numeric(mid$Leader) <= 24,
txt+                               mid$TermStartYear - 1865, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Garfield"] <- 1881 - 1865

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 25 &
txt+                                   as.numeric(mid$Leader) <= 27,
txt+                               mid$TermStartYear - 1898, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 28 &
txt+                                   as.numeric(mid$Leader) <= 31,
txt+                               mid$TermStartYear - 1918, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 32,
txt+                               mid$TermStartYear - 1945, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 33 &
txt+                                   as.numeric(mid$Leader) <= 35,
txt+                               mid$TermStartYear - 1953, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 36 &
txt+                                   as.numeric(mid$Leader) <= 40,
txt+                               mid$TermStartYear - 1973, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(mid$yrs.since.war < 0, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 41 &
txt+                                   as.numeric(mid$Leader) <= 42,
txt+                               mid$TermStartYear - 1991, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader %in% "Obama"] <- 0

txt>   mid$log.yrs.since.war <- log(mid$yrs.since.war + 1)

txt> ### Interaction of Log Years Since War and Log Deaths
txt>   mid$log.dead.x.log.years <- mid$log.prev.war.dead * mid$log.yrs.since.war

txt> ### Americans killed in last war, as percentage of U.S. population
txt>   ## U.S. population figures obtained from:
txt>   ## http://www.census.gov/population/www/cen2000/maps/respop.html
txt>   us.pop <- data.frame(matrix(, ncol = 2, byrow = TRUE, data =
txt+                                   c(2000, 281421906,
txt+                                     1990, 248709873,
txt+                                     1980, 226542199,
txt+                                     1970, 203302031,
txt+                                     1960, 179323175,
txt+                                     1950, 151325798,
txt+                                     1940, 132164569,
txt+                                     1930, 123202624,
txt+                                     1920, 106021537,
txt+                                     1910, 92228496,
txt+                                     1900, 76212168,
txt+                                     1890, 62979766,
txt+                                     1880, 50189209,
txt+                                     1870, 38558371,
txt+                                     1860, 31443321,
txt+                                     1850, 23191876,
txt+                                     1840, 17063353,
txt+                                     1830, 12860702,
txt+                                     1820, 9638453,
txt+                                     1810, 7239881,
txt+                                     1800, 5308483,
txt+                                     1790, 3929214)))

txt>   mid$prev.war.dead.pct <- rep(NA, nrow(mid))

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2260,
txt+                                   (2260 / 7239881) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 13283,
txt+                                   (13283 / 23191876) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 620000,
txt+                                   (620000 / 31443321) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2446,
txt+                                   (2446 / 76212168) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 116516,
txt+                                   (116516 / 106021537) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 405399,
txt+                                   (405399 / 132164569) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 36574,
txt+                                   (36574 / 151325798) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 58209,
txt+                                   (58209 / 203302031) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 382,
txt+                                   (382 / 248709873) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 4222,
txt+                                   (4222 / 281421906) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   ##
txt> ### Log Previous War Dead Percent (to deal with skew)
txt>   mid$log.war.dead.pct <- log(mid$prev.war.dead.pct)

txt>   ##
txt> ### Interaction of Log Previous War Dead Percent and Log Years Since
txt> ### War
txt>   mid$log.prv.dead.pct.x.log.yrs <- mid$log.war.dead.pct * mid$log.yrs.since.war

txt> ### Ongoing War
txt>   mid$ongoing.war <- as.integer(mid$yrs.since.war == 0 & mid$Pres1 != "JohnsonA")

txt>   ## Note: Lee's surrender at Appomatox occurred about a
txt>   ## week before Andrew Johnson ascended to the presidency, so he is
txt>   ## coded as having come into office without a war ongoing.
txt>   ## Also: Even though the War of 1812 began in his presidency, Madison
txt>   ## is coded as mid$ongoing.war = 1 because war was ongoing at the point
txt>   ## when the MID data begin (1816).
txt>   ##
txt> ### Elite Veteran (imputed)
txt>   ## Impute an elite veteran percentage of 40 (should be approximately
txt>   ## right) for Clinton and BushGW, for whom the data are missing.
txt>   mid$elitevet.imput <- ifelse(mid$Leader %in% c("Clinton", "BushGW", "Obama"),
txt+                                40, mid$elitevet)

txt> ### Lagged value of treatment (South1)
txt>   mid$South1.prev <- NA

txt>   for (i in 1:nrow(mid)){
txt+     mid$South1.prev[i] <-
txt+       mid$South1[as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1][1]
txt+   }

txt> ### Number of non-fishing MIDs in previous ten (five) years
txt>   mid$nMIDs.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*10)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   mid$nMIDs.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*5)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of MIDs in
txt>   ## the ten years AFTER the end of Monroe's term, which is 2.
txt>   mid$nMIDs.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*10)
txt+         & mid$nonfishing, na.rm = TRUE)

txt>   ## Same for 5 years
txt>   mid$nMIDs.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*5)
txt+         & mid$nonfishing, na.rm = TRUE)

txt> ### Uses of Force in previous 5 and 10 years
txt>   mid$ForceUS.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     (term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1])
txt+     mid$ForceUS.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*5) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   mid$ForceUS.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$ForceUS.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*10) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of uses of
txt>   ## Force in the ten years AFTER the end of Monroe's term, which is
txt>   ## 1. This actually only changes Madison's value, which was 0
txt>   ## (Monroe's was already 1).
txt>   mid$ForceUS.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10*365)
txt+         & (mid$nonfishing & mid$ForceUS == 1), na.rm=TRUE)

txt>   mid$ForceUS.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5)
txt+         & mid$nonfishing & mid$ForceUS == 1, na.rm=TRUE)

txt> ### Uses of force per MID in last ten years
txt>   mid$ForceUS.prop.prev5 <- mid$ForceUS.prev5 / mid$nMIDs.prev5

txt>   mid$ForceUS.prop.prev10 <- mid$ForceUS.prev10 / mid$nMIDs.prev10

txt> ### Log Duration
txt>   mid$ave.log.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.log.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.log.duration.prev5[i] <-
txt+       mean(log(mid$DurationUS[pre5 & mid$nonfishing]), na.rm = TRUE)
txt+     mid$ave.log.duration.prev10[i] <-
txt+       mean(log(mid$DurationUS[pre10 & mid$nonfishing]), na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*10))

txt>   mid$ave.log.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.log.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Duration
txt>   mid$ave.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.duration.prev5[i] <-
txt+       mean(mid$DurationUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.duration.prev10[i] <-
txt+       mean(mid$DurationUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1] &
txt+                   mid$nonfishing & mid$StartDateUS <
txt+                       (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Outcome
txt>   mid$ave.outcome.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.outcome.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.outcome.prev5[i] <-
txt+       mean(mid$OutcomeUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.outcome.prev10[i] <-
txt+       mean(mid$OutcomeUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.outcome.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post5mm], na.rm = TRUE)

txt>   mid$ave.outcome.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post10mm], na.rm = TRUE)

txt> ### Party and military variables
txt>   mid <- mutate(mid,
txt+                 Dem = as.integer(Party1Factor == "Democratic"), 
txt+                 DemRep = as.integer(Party1Factor == "Democratic-Republican"),
txt+                 Repub = as.integer(Party1Factor == "Republican"),
txt+                 Whig = as.integer(Party1Factor == "Whig"),
txt+                 DemDR = Dem + DemRep,
txt+                 military.occupation = as.integer(MiltOcc == "yes"),
txt+                 military.experience = as.integer(MiltExp == "no"))

File name: NofishMIDs1-150421-a.pdf 


File name: NofishMIDs2-150421-a.pdf 

Source: local data frame [37 x 6]

       LeaderName    Region MIDs      Force  Duration     Outcome
1    Adams, J. Q. Non-South    1 1.00000000   1.00000  1.00000000
2          Arthur Non-South    2 0.00000000  27.00000  0.00000000
3        Buchanan Non-South    6 0.16666667  58.16667  0.00000000
4  Bush, G. H. W. Non-South    9 0.66666667  85.44444  0.11111111
5     Bush, G. W.     South   24 0.62500000  95.08333  0.08333333
6          Carter     South   12 0.16666667  56.58333 -0.08333333
7       Cleveland Non-South    9 0.22222222  28.22222  0.00000000
8         Clinton     South   26 0.34615385  93.38462  0.07692308
9        Coolidge Non-South    1 1.00000000 145.00000  1.00000000
10     Eisenhower Non-South   31 0.09677419 103.16129  0.00000000
..            ...       ...  ...        ...       ...         ...

File name: PresSummaryPrimary150421-a.pdf 


File name: PresSummaryBilateral150421-a.pdf 

Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, bilateral)

REML criterion at convergence: 261.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9260 -1.2255  0.4203  0.6344  1.1873 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.03439  0.1854  
 Residual             0.17176  0.4144  
Number of obs: 215, groups:  Leader, 35

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.75605    0.05678  13.316
South1      -0.12423    0.09658  -1.286

Correlation of Fixed Effects:
       (Intr)
South1 -0.588
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, primary)

REML criterion at convergence: 367.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8730 -1.2848  0.4591  0.7220  1.0755 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.02478  0.1574  
 Residual             0.18386  0.4288  
Number of obs: 296, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.75428    0.04865  15.504
South1      -0.12187    0.08477  -1.438

Correlation of Fixed Effects:
       (Intr)
South1 -0.574
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, nonfishing)

REML criterion at convergence: 426.8

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9071 -1.2852  0.4485  0.7378  1.0786 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.02333  0.1527  
 Residual             0.18023  0.4245  
Number of obs: 352, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.77276    0.04560  16.947
South1      -0.13871    0.08089  -1.715

Correlation of Fixed Effects:
       (Intr)
South1 -0.564

*** bilateral none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.2438204 50.9329335  0.1184115 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.014             0.042             0.089             0.021             0.042             0.089             0.013 

*** bilateral none FALSE harmonic ***

*** bilateral none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 26.210696   2.573617  12.445929 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.014             0.037             0.091             0.021             0.037             0.091             0.014 

*** bilateral none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  2.800901   1.694811   1.909850 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.011             0.056             0.037             0.011             0.056             0.037             0.006 

*** bilateral none TRUE mean ***

*** bilateral none TRUE harmonic ***

*** bilateral none TRUE rank ***

*** bilateral none TRUE hlm ***

*** bilateral log.placebo FALSE ***


Tue Apr 21 11:51:19 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.033446e-02  5.449064e-02  6.843769e-02  7.148172e-02  3.551961e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.556225e-01  

      1 	4.795145e-02  5.736492e-02  7.277152e-02  8.847061e-02  3.216421e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  7.883702e-01  8.079242e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.795145e-02  5.736492e-02  7.277152e-02  8.847061e-02  3.216421e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  7.883702e-01  8.079242e-01  

Parameters at the Solution:

 X[ 1] :	8.200367e+02
 X[ 2] :	6.485205e+01
 X[ 3] :	7.144895e+02
 X[ 4] :	7.757705e+01
 X[ 5] :	4.023053e+00
 X[ 6] :	5.188221e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 11:59:03 2015
Total run time : 0 hours 7 minutes and 44 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4        Harding         1          1
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5         Truman         6          4
7       Wilson        15         13 Bush, G. H. W.         8          5
8  Johnson, L.        22         15        Lincoln         4          3
9       Carter         9          7           Ford         4          4
10     Clinton        24         10  Roosevelt, F.        10          8
11 Bush, G. W.        24         20          Nixon        12          9

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.39438 
std mean diff.........     95.056 	 	     49.026 

mean raw eQQ diff.....    0.34315 	 	    0.18501 
med  raw eQQ diff.....    0.28571 	 	   0.090909 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.13333 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.2456 
T-test p-value........   0.012043 	 	   0.047951 
KS Bootstrap p-value..      0.031 	 	      0.402 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.5685 
std mean diff.........    -102.09 	 	    -97.429 

mean raw eQQ diff.....    0.95999 	 	     1.0425 
med  raw eQQ diff.....    0.60897 	 	    0.86396 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.20668 	 	    0.23636 
med  eCDF diff........    0.21023 	 	    0.27273 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     1.0853 
T-test p-value........   0.016439 	 	   0.057365 
KS Bootstrap p-value..      0.196 	 	      0.415 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.17504 
std mean diff.........     33.929 	 	     31.989 

mean raw eQQ diff.....    0.13931 	 	    0.13108 
med  raw eQQ diff.....   0.031818 	 	   0.018797 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	     0.1039 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	     2.5228 
T-test p-value........     0.3088 	 	   0.072772 
KS Bootstrap p-value..      0.523 	 	      0.717 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34642 
std mean diff.........     47.436 	 	     22.038 

mean raw eQQ diff.....    0.13724 	 	   0.077945 
med  raw eQQ diff.....    0.12857 	 	   0.053221 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19792 	 	    0.11818 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.322 	 	     1.7732 
T-test p-value........    0.19269 	 	    0.32164 
KS Bootstrap p-value..      0.027 	 	      0.421 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6324 
std mean diff.........    -63.836 	 	    -17.756 

mean raw eQQ diff.....    0.69778 	 	    0.29907 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16867 	 	    0.12554 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.50599 
T-test p-value........    0.21801 	 	    0.78837 
KS Bootstrap p-value..      0.189 	 	      0.379 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.16155 
std mean diff.........     27.172 	 	      39.45 

mean raw eQQ diff.....   0.066915 	 	   0.079438 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.15341 
med  eCDF diff........   0.090909 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.3959 
T-test p-value........    0.44287 	 	   0.088471 
KS Bootstrap p-value..      0.616 	 	      0.399 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.047951 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.39438 
std mean diff.........     95.056 	 	     49.026 

mean raw eQQ diff.....    0.34315 	 	    0.18501 
med  raw eQQ diff.....    0.28571 	 	   0.090909 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.13333 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.2456 
T-test p-value........   0.012043 	 	   0.047951 
KS Bootstrap p-value..      0.031 	 	      0.376 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.5685 
std mean diff.........    -102.09 	 	    -97.429 

mean raw eQQ diff.....    0.95999 	 	     1.0425 
med  raw eQQ diff.....    0.60897 	 	    0.86396 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.20668 	 	    0.23636 
med  eCDF diff........    0.21023 	 	    0.27273 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     1.0853 
T-test p-value........   0.016439 	 	   0.057365 
KS Bootstrap p-value..      0.179 	 	      0.426 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.17504 
std mean diff.........     33.929 	 	     31.989 

mean raw eQQ diff.....    0.13931 	 	    0.13108 
med  raw eQQ diff.....   0.031818 	 	   0.018797 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	     0.1039 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	     2.5228 
T-test p-value........     0.3088 	 	   0.072772 
KS Bootstrap p-value..      0.554 	 	      0.663 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34642 
std mean diff.........     47.436 	 	     22.038 

mean raw eQQ diff.....    0.13724 	 	   0.077945 
med  raw eQQ diff.....    0.12857 	 	   0.053221 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19792 	 	    0.11818 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.322 	 	     1.7732 
T-test p-value........    0.19269 	 	    0.32164 
KS Bootstrap p-value..      0.026 	 	      0.392 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6324 
std mean diff.........    -63.836 	 	    -17.756 

mean raw eQQ diff.....    0.69778 	 	    0.29907 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16867 	 	    0.12554 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.50599 
T-test p-value........    0.21801 	 	    0.78837 
KS Bootstrap p-value..      0.188 	 	      0.399 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.16155 
std mean diff.........     27.172 	 	      39.45 

mean raw eQQ diff.....   0.066915 	 	   0.079438 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.15341 
med  eCDF diff........   0.090909 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.3959 
T-test p-value........    0.44287 	 	   0.088471 
KS Bootstrap p-value..      0.646 	 	      0.376 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.047951 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3944   0.5740   0.1796           0.0964   0.5767  1.8636  .      
ave.log.duration.prev5          2.5685   1.5259   -1.0425          0.5785   -0.9940 -1.8023 .      
ave.outcome.prev5               0.1750   0.3027   0.1277           0.0744   0.3828  1.7159  .      
ForceUS.prop.prev10             0.3464   0.3965   0.0501           0.0504   0.2492  0.9947         
ave.log.duration.prev10         2.6324   2.5386   -0.0938          0.3415   -0.1456 -0.2748        
ave.outcome.prev10              0.1616   0.2410   0.0794           0.0484   0.4258  1.6402         
---Overall Test---
      chisquare df p.value
strat      8.09  6   0.232
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     29 
$p.values
ForceUS     NPC 
   0.18    0.18 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1790043 39.4610390  0.1114719 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2338967 51.1356366  0.2513736 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 12.440801   1.426746   7.641991 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.678874   1.011897   1.664766 

Closed Testing
Intersection 1 of 7 

*** bilateral log.placebo TRUE ***


Tue Apr 21 12:05:47 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.825765e-02  8.787508e-02  9.343153e-02  3.017453e-01  3.945988e-01  4.027135e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.079242e-01  8.079242e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.825765e-02  8.787508e-02  9.343153e-02  3.017453e-01  3.945988e-01  4.027135e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.079242e-01  8.079242e-01  

Parameters at the Solution:

 X[ 1] :	9.622522e+02
 X[ 2] :	9.823428e+02
 X[ 3] :	8.429725e+02
 X[ 4] :	3.840484e+02
 X[ 5] :	1.753528e+02
 X[ 6] :	6.264405e+00

Solution Found Generation 1
Number of Generations Run 11

Tue Apr 21 12:13:17 2015
Total run time : 0 hours 7 minutes and 30 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5         Truman         6          4
7       Wilson        15         13       Buchanan         6          5
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7  Roosevelt, F.        10          8
10     Clinton        24         10          Obama         4          3
11 Bush, G. W.        24         20          Nixon        12          9

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.43745 
std mean diff.........     95.056 	 	     37.271 

mean raw eQQ diff.....    0.34315 	 	    0.17397 
med  raw eQQ diff.....    0.28571 	 	    0.10476 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	     0.1157 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     4.3421 
T-test p-value........   0.012043 	 	   0.093432 
KS Bootstrap p-value..      0.031 	 	       0.34 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2536 
std mean diff.........    -102.09 	 	    -68.006 

mean raw eQQ diff.....    0.95999 	 	     0.7277 
med  raw eQQ diff.....    0.60897 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.20668 	 	    0.18182 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     2.8604 
T-test p-value........   0.016439 	 	   0.087875 
KS Bootstrap p-value..      0.196 	 	      0.412 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.17814 
std mean diff.........     33.929 	 	     31.213 

mean raw eQQ diff.....    0.13931 	 	    0.12456 
med  raw eQQ diff.....   0.031818 	 	   0.052632 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	     0.1157 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	      1.904 
T-test p-value........     0.3088 	 	   0.068258 
KS Bootstrap p-value..      0.523 	 	      0.663 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.35469 
std mean diff.........     47.436 	 	     18.396 

mean raw eQQ diff.....    0.13724 	 	   0.076401 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	   0.079545 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     2.3152 
T-test p-value........    0.19269 	 	    0.40271 
KS Bootstrap p-value..      0.027 	 	      0.735 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.4539 
std mean diff.........    -63.836 	 	     16.032 

mean raw eQQ diff.....    0.69778 	 	    0.23097 
med  raw eQQ diff.....    0.50644 	 	    0.12682 
max  raw eQQ diff.....     1.8581 	 	    0.78638 

mean eCDF diff........    0.16867 	 	    0.14439 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	     2.3618 
T-test p-value........    0.21801 	 	     0.3946 
KS Bootstrap p-value..      0.189 	 	      0.382 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18972 
std mean diff.........     27.172 	 	     25.462 

mean raw eQQ diff.....   0.066915 	 	   0.078544 
med  raw eQQ diff.....   0.071429 	 	      0.075 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.14286 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.1463 
T-test p-value........    0.44287 	 	    0.30175 
KS Bootstrap p-value..      0.616 	 	      0.414 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.068258 
Variable Name(s): ave.outcome.prev5  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.43745 
std mean diff.........     95.056 	 	     37.271 

mean raw eQQ diff.....    0.34315 	 	    0.17397 
med  raw eQQ diff.....    0.28571 	 	    0.10476 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	     0.1157 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     4.3421 
T-test p-value........   0.012043 	 	   0.093432 
KS Bootstrap p-value..      0.031 	 	      0.312 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2536 
std mean diff.........    -102.09 	 	    -68.006 

mean raw eQQ diff.....    0.95999 	 	     0.7277 
med  raw eQQ diff.....    0.60897 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.20668 	 	    0.18182 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     2.8604 
T-test p-value........   0.016439 	 	   0.087875 
KS Bootstrap p-value..      0.179 	 	      0.403 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.17814 
std mean diff.........     33.929 	 	     31.213 

mean raw eQQ diff.....    0.13931 	 	    0.12456 
med  raw eQQ diff.....   0.031818 	 	   0.052632 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	     0.1157 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	      1.904 
T-test p-value........     0.3088 	 	   0.068258 
KS Bootstrap p-value..      0.554 	 	      0.629 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.35469 
std mean diff.........     47.436 	 	     18.396 

mean raw eQQ diff.....    0.13724 	 	   0.076401 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	   0.079545 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     2.3152 
T-test p-value........    0.19269 	 	    0.40271 
KS Bootstrap p-value..      0.026 	 	      0.707 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.4539 
std mean diff.........    -63.836 	 	     16.032 

mean raw eQQ diff.....    0.69778 	 	    0.23097 
med  raw eQQ diff.....    0.50644 	 	    0.12682 
max  raw eQQ diff.....     1.8581 	 	    0.78638 

mean eCDF diff........    0.16867 	 	    0.14439 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	     2.3618 
T-test p-value........    0.21801 	 	     0.3946 
KS Bootstrap p-value..      0.188 	 	      0.401 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18972 
std mean diff.........     27.172 	 	     25.462 

mean raw eQQ diff.....   0.066915 	 	   0.078544 
med  raw eQQ diff.....   0.071429 	 	      0.075 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.14286 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.1463 
T-test p-value........    0.44287 	 	    0.30175 
KS Bootstrap p-value..      0.646 	 	      0.372 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.068258 
Variable Name(s): ave.outcome.prev5  Number(s): 3 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4374   0.5740   0.1365           0.0844   0.4752  1.6183         
ave.log.duration.prev5          2.2536   1.5259   -0.7277          0.4429   -0.8279 -1.6429        
ave.outcome.prev5               0.1781   0.3027   0.1246           0.0716   0.3574  1.7397  .      
ForceUS.prop.prev10             0.3547   0.3965   0.0418           0.0495   0.2174  0.8450         
ave.log.duration.prev10         2.4539   2.5386   0.0847           0.0986   0.1900  0.8592         
ave.outcome.prev10              0.1897   0.2410   0.0513           0.0496   0.2632  1.0346         
---Overall Test---
      chisquare df p.value
strat      9.85  6   0.131
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     16 
$p.values
ForceUS     NPC 
  0.678   0.678 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.17927171 26.28991597  0.08473389 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2221723 32.3095183  0.2162005 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 13.624650   1.407656   6.426471 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.6494583  0.7269905  1.3927252 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs FALSE ***


Tue Apr 21 12:21:16 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.610718e-01  4.709619e-01  4.791504e-01  5.183115e-01  7.801346e-01  9.933560e-01  9.933560e-01  9.952547e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.610718e-01  4.791504e-01  5.181021e-01  5.572371e-01  7.656621e-01  9.933560e-01  9.933560e-01  9.952547e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.784449e-01  4.791504e-01  5.452948e-01  7.720312e-01  8.079242e-01  9.650110e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.784449e-01  4.791504e-01  5.452948e-01  7.720312e-01  8.079242e-01  9.650110e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.274492e-01
 X[ 2] :	5.778892e+02
 X[ 3] :	7.960217e+01
 X[ 4] :	4.739936e+02
 X[ 5] :	4.240440e+01
 X[ 6] :	3.118177e+02
 X[ 7] :	9.021916e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 21 12:27:52 2015
Total run time : 0 hours 6 minutes and 36 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2       Lincoln         4          3
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13         Grant         7          6
8  Johnson, L.        22         15         Nixon        12          9
9       Carter         9          7          Ford         4          4
10     Clinton        24         10        Reagan        33         24
11 Bush, G. W.        24         20    Eisenhower        28         18

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.45455 
std mean diff.........    -24.661 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.064394 	 	          0 
med  eCDF diff........   0.064394 	 	          0 
max  eCDF diff........    0.12879 	 	          0 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	       1903 
std mean diff.........    -23.611 	 	     -9.662 

mean raw eQQ diff.....     25.545 	 	     19.818 
med  raw eQQ diff.....         28 	 	         20 
max  raw eQQ diff.....         44 	 	         33 

mean eCDF diff........    0.15758 	 	    0.13636 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	      1.834 
T-test p-value........    0.48649 	 	    0.54529 
KS Bootstrap p-value..       0.08 	 	      0.422 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.5996 
std mean diff.........   -0.23177 	 	     24.043 

mean raw eQQ diff.....    0.14681 	 	    0.29249 
med  raw eQQ diff.....    0.09531 	 	    0.25131 
max  raw eQQ diff.....    0.40547 	 	    0.78846 

mean eCDF diff........   0.054293 	 	    0.09697 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.27273 

var ratio (Tr/Co).....     1.1956 	 	     1.2174 
T-test p-value........    0.99486 	 	    0.47844 
KS Bootstrap p-value..      0.954 	 	      0.707 
KS Naive p-value......    0.99842 	 	    0.80792 
KS Statistic..........    0.14015 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     7.3636 
std mean diff.........   -0.92162 	 	     5.2045 

mean raw eQQ diff.....     1.3636 	 	     1.4545 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.066919 	 	   0.055944 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     1.4507 	 	     1.5925 
T-test p-value........    0.97906 	 	    0.77203 
KS Bootstrap p-value..      0.571 	 	       0.96 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.6604 
std mean diff.........     21.666 	 	   -0.37759 

mean raw eQQ diff.....     1.3707 	 	    0.33078 
med  raw eQQ diff.....     1.0732 	 	   0.090349 
max  raw eQQ diff.....     4.1068 	 	     1.2786 

mean eCDF diff........    0.10795 	 	   0.058442 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.28788 	 	    0.18182 

var ratio (Tr/Co).....     0.9519 	 	     1.1342 
T-test p-value........    0.56157 	 	    0.96501 
KS Bootstrap p-value..      0.346 	 	       0.94 
KS Naive p-value......    0.55945 	 	    0.99336 
KS Statistic..........    0.28788 	 	    0.18182 


Before Matching Minimum p.value: 0.08 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.422 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.18741 
std mean diff.........     95.056 	 	     105.52 

mean raw eQQ diff.....    0.34315 	 	    0.38657 
med  raw eQQ diff.....    0.28571 	 	    0.35714 
max  raw eQQ diff.....        0.7 	 	        0.7 

mean eCDF diff........    0.33044 	 	    0.34416 
med  eCDF diff........     0.3447 	 	    0.36364 
max  eCDF diff........    0.48485 	 	    0.54545 

var ratio (Tr/Co).....     2.2983 	 	     4.8431 
T-test p-value........   0.012043 	 	  0.0059503 
KS Bootstrap p-value..      0.031 	 	       0.05 
KS Naive p-value......    0.05766 	 	   0.075802 
KS Statistic..........    0.48485 	 	    0.54545 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	       3.18 
std mean diff.........    -102.09 	 	    -154.58 

mean raw eQQ diff.....    0.95999 	 	      1.654 
med  raw eQQ diff.....    0.60897 	 	     1.5564 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.20668 	 	    0.31818 
med  eCDF diff........    0.21023 	 	    0.36364 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.63202 	 	     0.5804 
T-test p-value........   0.016439 	 	  0.0098454 
KS Bootstrap p-value..      0.179 	 	      0.062 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.17753 
std mean diff.........     33.929 	 	     31.365 

mean raw eQQ diff.....    0.13931 	 	    0.12517 
med  raw eQQ diff.....   0.031818 	 	   0.076923 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	   0.090909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.1594 
T-test p-value........     0.3088 	 	    0.31675 
KS Bootstrap p-value..      0.554 	 	      0.939 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.28176 
std mean diff.........     47.436 	 	     50.486 

mean raw eQQ diff.....    0.13724 	 	    0.11474 
med  raw eQQ diff.....    0.12857 	 	   0.082692 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.19792 	 	    0.21531 
med  eCDF diff........    0.20833 	 	    0.18182 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.322 	 	     2.1899 
T-test p-value........    0.19269 	 	    0.17686 
KS Bootstrap p-value..      0.026 	 	      0.168 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     3.1381 
std mean diff.........    -63.836 	 	    -113.43 

mean raw eQQ diff.....    0.69778 	 	    0.78782 
med  raw eQQ diff.....    0.50644 	 	    0.59965 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16867 	 	    0.14286 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.19678 
T-test p-value........    0.21801 	 	   0.099952 
KS Bootstrap p-value..      0.188 	 	      0.407 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	     0.1752 
std mean diff.........     27.172 	 	     32.671 

mean raw eQQ diff.....   0.066915 	 	   0.080939 
med  raw eQQ diff.....   0.071429 	 	      0.075 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........   0.098304 	 	    0.11932 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.3515 
T-test p-value........    0.44287 	 	     0.2407 
KS Bootstrap p-value..      0.646 	 	      0.694 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0059503 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1874   0.5740   0.3866           0.1611   1.3586  2.3999  *      
ave.log.duration.prev5          3.1800   1.5259   -1.6540          0.7208   -1.3248 -2.2948 *      
ave.outcome.prev5               0.1775   0.3027   0.1252           0.1246   0.3667  1.0044         
ForceUS.prop.prev10             0.2818   0.3965   0.1147           0.0862   0.5916  1.3309         
ave.log.duration.prev10         3.1381   2.5386   -0.5995          0.3769   -0.6505 -1.5907        
ave.outcome.prev10              0.1752   0.2410   0.0658           0.0564   0.3503  1.1675         
---Overall Test---
      chisquare df p.value
strat      7.98  6    0.24
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -7 
$p.values
ForceUS     NPC 
  0.758   0.758 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2463370 65.2692308  0.1254579 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2750944 63.7558747  0.2421745 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 21.554487   2.463184  10.943223 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.399280   2.064584   1.821568 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs TRUE ***


Tue Apr 21 12:36:16 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.979836e-01  4.168400e-01  4.268699e-01  4.334859e-01  4.610718e-01  5.706690e-01  5.706690e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.979836e-01  4.168400e-01  4.268699e-01  4.334859e-01  4.610718e-01  5.706690e-01  5.706690e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.223959e+02
 X[ 2] :	9.038400e+02
 X[ 3] :	1.702752e+02
 X[ 4] :	2.658776e+01
 X[ 5] :	9.462625e+02
 X[ 6] :	1.298004e+02
 X[ 7] :	1.685874e+01

Solution Found Generation 1
Number of Generations Run 11

Tue Apr 21 12:41:46 2015
Total run time : 0 hours 5 minutes and 30 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6      Fillmore         3          3
3      Jackson         4          4       Lincoln         4          3
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Fillmore         3          3
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7        Reagan        33         24
10     Clinton        24         10          Ford         4          4
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.45455 
std mean diff.........    -24.661 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.064394 	 	          0 
med  eCDF diff........   0.064394 	 	          0 
max  eCDF diff........    0.12879 	 	          0 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1901.4 
std mean diff.........    -23.611 	 	     -7.488 

mean raw eQQ diff.....     25.545 	 	     13.091 
med  raw eQQ diff.....         28 	 	         12 
max  raw eQQ diff.....         44 	 	         28 

mean eCDF diff........    0.15758 	 	    0.09596 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.27273 

var ratio (Tr/Co).....     2.2792 	 	     1.4043 
T-test p-value........    0.48649 	 	    0.39798 
KS Bootstrap p-value..       0.08 	 	       0.73 
KS Naive p-value......    0.10915 	 	    0.80792 
KS Statistic..........    0.41288 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.57067 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     2.0239 
std mean diff.........   -0.23177 	 	    -10.838 

mean raw eQQ diff.....    0.14681 	 	    0.30079 
med  raw eQQ diff.....    0.09531 	 	    0.20067 
max  raw eQQ diff.....    0.40547 	 	     1.0986 

mean eCDF diff........   0.054293 	 	   0.075758 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.8878 
T-test p-value........    0.99486 	 	    0.41684 
KS Bootstrap p-value..      0.954 	 	       0.94 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     6.9091 
std mean diff.........   -0.92162 	 	      11.71 

mean raw eQQ diff.....     1.3636 	 	     1.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.066919 	 	   0.062937 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     1.4507 	 	     1.1543 
T-test p-value........    0.97906 	 	    0.43349 
KS Bootstrap p-value..      0.571 	 	      0.953 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     4.8627 
std mean diff.........     21.666 	 	      32.33 

mean raw eQQ diff.....     1.3707 	 	     1.7677 
med  raw eQQ diff.....     1.0732 	 	     1.2594 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.18182 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.28788 	 	    0.36364 

var ratio (Tr/Co).....     0.9519 	 	    0.60194 
T-test p-value........    0.56157 	 	    0.42687 
KS Bootstrap p-value..      0.346 	 	       0.32 
KS Naive p-value......    0.55945 	 	    0.46107 
KS Statistic..........    0.28788 	 	    0.36364 


Before Matching Minimum p.value: 0.08 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.32 
Variable Name(s): TermYrsAdj  Number(s): 7 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.17845 
std mean diff.........     95.056 	 	     107.97 

mean raw eQQ diff.....    0.34315 	 	    0.39553 
med  raw eQQ diff.....    0.28571 	 	    0.34615 
max  raw eQQ diff.....        0.7 	 	    0.66667 

mean eCDF diff........    0.33044 	 	    0.35606 
med  eCDF diff........     0.3447 	 	    0.36364 
max  eCDF diff........    0.48485 	 	    0.54545 

var ratio (Tr/Co).....     2.2983 	 	      4.232 
T-test p-value........   0.012043 	 	  0.0099233 
KS Bootstrap p-value..      0.031 	 	      0.059 
KS Naive p-value......    0.05766 	 	   0.075802 
KS Statistic..........    0.48485 	 	    0.54545 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     3.3728 
std mean diff.........    -102.09 	 	     -172.6 

mean raw eQQ diff.....    0.95999 	 	     1.8469 
med  raw eQQ diff.....    0.60897 	 	     2.1672 
max  raw eQQ diff.....     2.3128 	 	     2.7109 

mean eCDF diff........    0.20668 	 	    0.33523 
med  eCDF diff........    0.21023 	 	    0.36364 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.63202 	 	    0.55881 
T-test p-value........   0.016439 	 	   0.017679 
KS Bootstrap p-value..      0.179 	 	      0.061 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	   0.062529 
std mean diff.........     33.929 	 	     60.183 

mean raw eQQ diff.....    0.13931 	 	    0.24017 
med  raw eQQ diff.....   0.031818 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........   0.076156 	 	    0.21818 
med  eCDF diff........   0.045455 	 	    0.22727 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     3.6457 	 	     7.6136 
T-test p-value........     0.3088 	 	   0.094797 
KS Bootstrap p-value..      0.554 	 	      0.284 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.41338 
std mean diff.........     47.436 	 	    -7.4279 

mean raw eQQ diff.....    0.13724 	 	   0.096673 
med  raw eQQ diff.....    0.12857 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.19792 	 	   0.085227 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     1.2608 
T-test p-value........    0.19269 	 	     0.8538 
KS Bootstrap p-value..      0.026 	 	      0.712 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     3.3129 
std mean diff.........    -63.836 	 	    -146.51 

mean raw eQQ diff.....    0.69778 	 	    0.90663 
med  raw eQQ diff.....    0.50644 	 	    0.78638 
max  raw eQQ diff.....     1.8581 	 	     1.8059 

mean eCDF diff........    0.16867 	 	    0.19786 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.24893 	 	    0.21713 
T-test p-value........    0.21801 	 	   0.052387 
KS Bootstrap p-value..      0.188 	 	      0.175 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18273 
std mean diff.........     27.172 	 	     28.934 

mean raw eQQ diff.....   0.066915 	 	    0.12303 
med  raw eQQ diff.....   0.071429 	 	    0.11905 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........   0.098304 	 	    0.18182 
med  eCDF diff........   0.090909 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.1488 
T-test p-value........    0.44287 	 	    0.40945 
KS Bootstrap p-value..      0.646 	 	      0.365 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0099233 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1785   0.5740   0.3955           0.1725   1.3733  2.2930  *      
ave.log.duration.prev5          3.3728   1.5259   -1.8469          0.8569   -1.4615 -2.1553 *      
ave.outcome.prev5               0.0625   0.3027   0.2402           0.1490   0.8002  1.6124         
ForceUS.prop.prev10             0.4134   0.3965   -0.0169          0.0894   -0.0784 -0.1888        
ave.log.duration.prev10         3.3129   2.5386   -0.7743          0.4223   -0.8751 -1.8337 .      
ave.outcome.prev10              0.1827   0.2410   0.0583           0.0699   0.2992  0.8333         
---Overall Test---
      chisquare df p.value
strat      7.34  6    0.29
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      1 
$p.values
ForceUS     NPC 
      1       1 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2471314 39.4741824  0.1300918 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3494089 38.4829670  0.2600316 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 20.635470   1.848009  10.395582 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.0409873  0.9980311  1.5935440 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs FALSE ***


Tue Apr 21 12:52:35 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.184679e-02  4.433262e-02  5.410831e-02  6.041265e-02  6.928845e-02  1.426070e-01  1.490070e-01  1.490070e-01  2.058362e-01  3.106737e-01  3.189527e-01  3.189527e-01  3.255780e-01  4.609231e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.670125e-01  4.791504e-01  5.395681e-01  6.623738e-01  8.079242e-01  8.079242e-01  8.245877e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.765279e-02  4.818726e-02  6.318092e-02  7.932583e-02  1.258138e-01  1.490070e-01  1.490070e-01  1.542474e-01  2.058362e-01  2.058362e-01  2.412287e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.250212e-01  3.319825e-01  4.441689e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.061454e-01  6.291612e-01  8.079242e-01  8.079242e-01  9.752981e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.818726e-02  6.213429e-02  6.399302e-02  8.177161e-02  1.312236e-01  1.490070e-01  1.490070e-01  1.506361e-01  1.995569e-01  2.058362e-01  2.211827e-01  2.796479e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.789944e-01  6.663223e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.697917e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	5.540211e-02  5.582249e-02  5.662961e-02  7.014066e-02  9.545709e-02  2.058362e-01  2.849452e-01  2.978882e-01  3.031114e-01  3.189527e-01  3.189527e-01  3.654505e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  7.370725e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.329221e-01  8.536525e-01  9.253837e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      6 	5.582249e-02  5.603873e-02  5.753451e-02  6.458476e-02  1.643355e-01  2.058362e-01  2.266547e-01  2.644221e-01  2.766973e-01  3.189527e-01  3.189527e-01  3.582528e-01  3.887570e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.925610e-01  7.199890e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.653667e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.582249e-02  5.603873e-02  5.753451e-02  6.458476e-02  1.643355e-01  2.058362e-01  2.266547e-01  2.644221e-01  2.766973e-01  3.189527e-01  3.189527e-01  3.582528e-01  3.887570e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.925610e-01  7.199890e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.653667e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.073206e+02
 X[ 2] :	1.712740e+02
 X[ 3] :	6.436072e+02
 X[ 4] :	4.023057e+02
 X[ 5] :	4.276393e+00
 X[ 6] :	4.440558e+02
 X[ 7] :	6.108878e+02
 X[ 8] :	1.488193e+02
 X[ 9] :	3.890140e+01
 X[10] :	1.322478e+00
 X[11] :	6.840923e+02
 X[12] :	4.816781e+01
 X[13] :	4.387347e+02
 X[14] :	3.000514e+02
 X[15] :	9.833183e+02
 X[16] :	1.421668e+02
 X[17] :	6.950737e+02
 X[18] :	7.261459e+02

Solution Found Generation 6
Number of Generations Run 17

Tue Apr 21 13:15:29 2015
Total run time : 0 hours 22 minutes and 54 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Fillmore         3          3
2       Monroe         6          6      Van Buren         4          4
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1         Pierce         7          7
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7           Ford         4          4
10     Clinton        24         10         Reagan        33         24
11 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.54545 
std mean diff.........    -24.661 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.045455 
med  eCDF diff........   0.064394 	 	   0.045455 
max  eCDF diff........    0.12879 	 	   0.090909 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	       1915 
std mean diff.........    -23.611 	 	    -25.604 

mean raw eQQ diff.....     25.545 	 	         20 
med  raw eQQ diff.....         28 	 	         20 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.15758 	 	    0.11983 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.3705 
T-test p-value........    0.48649 	 	   0.064585 
KS Bootstrap p-value..       0.08 	 	      0.431 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.9131 
std mean diff.........   -0.23177 	 	    -1.7278 

mean raw eQQ diff.....    0.14681 	 	    0.21322 
med  raw eQQ diff.....    0.09531 	 	    0.18232 
max  raw eQQ diff.....    0.40547 	 	    0.69315 

mean eCDF diff........   0.054293 	 	   0.072727 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.4421 
T-test p-value........    0.99486 	 	    0.96537 
KS Bootstrap p-value..      0.954 	 	      0.971 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     7.4545 
std mean diff.........   -0.92162 	 	     3.9034 

mean raw eQQ diff.....     1.3636 	 	     1.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.072727 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     1.4507 	 	     1.2623 
T-test p-value........    0.97906 	 	    0.71999 
KS Bootstrap p-value..      0.571 	 	      0.968 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     4.9184 
std mean diff.........     21.666 	 	     30.044 

mean raw eQQ diff.....     1.3707 	 	     1.6198 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.16084 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.28788 	 	    0.36364 

var ratio (Tr/Co).....     0.9519 	 	    0.63768 
T-test p-value........    0.56157 	 	    0.35825 
KS Bootstrap p-value..      0.346 	 	      0.314 
KS Naive p-value......    0.55945 	 	    0.46107 
KS Statistic..........    0.28788 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	     0.2741 
std mean diff.........     95.056 	 	      81.86 

mean raw eQQ diff.....    0.34315 	 	    0.29988 
med  raw eQQ diff.....    0.28571 	 	    0.26316 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.25175 
med  eCDF diff........     0.3447 	 	    0.27273 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.4256 
T-test p-value........   0.012043 	 	   0.056039 
KS Bootstrap p-value..      0.031 	 	      0.387 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.7271 
std mean diff.........    -102.09 	 	    -112.25 

mean raw eQQ diff.....    0.95999 	 	     1.2011 
med  raw eQQ diff.....    0.60897 	 	     1.0603 
max  raw eQQ diff.....     2.3128 	 	      2.176 

mean eCDF diff........    0.20668 	 	    0.26316 
med  eCDF diff........    0.21023 	 	    0.27273 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.63202 	 	    0.54392 
T-test p-value........   0.016439 	 	   0.057535 
KS Bootstrap p-value..      0.196 	 	      0.189 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.14192 
std mean diff.........     33.929 	 	     40.287 

mean raw eQQ diff.....    0.13931 	 	    0.16077 
med  raw eQQ diff.....   0.031818 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........   0.076156 	 	    0.12397 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.6691 
T-test p-value........     0.3088 	 	    0.26442 
KS Bootstrap p-value..      0.523 	 	      0.931 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34272 
std mean diff.........     47.436 	 	     23.667 

mean raw eQQ diff.....    0.13724 	 	   0.071969 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.19792 	 	   0.080808 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     1.7608 
T-test p-value........    0.19269 	 	     0.2767 
KS Bootstrap p-value..      0.027 	 	      0.741 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.9922 
std mean diff.........    -63.836 	 	    -85.814 

mean raw eQQ diff.....    0.69778 	 	    0.64118 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16867 	 	    0.16883 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.24158 
T-test p-value........    0.21801 	 	    0.16434 
KS Bootstrap p-value..      0.189 	 	      0.427 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19233 
std mean diff.........     27.172 	 	     24.164 

mean raw eQQ diff.....   0.066915 	 	   0.074033 
med  raw eQQ diff.....   0.071429 	 	   0.071429 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........   0.098304 	 	   0.096591 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	      1.366 
T-test p-value........    0.44287 	 	    0.22665 
KS Bootstrap p-value..      0.616 	 	       0.72 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	   0.090909 
std mean diff.........    -25.126 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.037879 	 	          0 
med  eCDF diff........   0.037879 	 	          0 
max  eCDF diff........   0.075758 	 	          0 

var ratio (Tr/Co).....    0.62727 	 	          1 
T-test p-value........    0.53236 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -3.3163 
std mean diff.........    -69.824 	 	    -36.596 

mean raw eQQ diff.....     1.6689 	 	    0.97781 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18826 	 	    0.11111 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     2.0974 
T-test p-value........   0.059093 	 	   0.055822 
KS Bootstrap p-value..      0.014 	 	      0.271 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	      36.44 
std mean diff.........    -27.864 	 	    -18.727 

mean raw eQQ diff.....     5.5822 	 	     4.2985 
med  raw eQQ diff.....     4.5455 	 	     4.0455 
max  raw eQQ diff.....     17.833 	 	     13.667 

mean eCDF diff........   0.084044 	 	   0.090909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.27273 

var ratio (Tr/Co).....    0.92792 	 	     1.0072 
T-test p-value........    0.45834 	 	    0.38876 
KS Bootstrap p-value..      0.462 	 	      0.741 
KS Naive p-value......    0.61132 	 	    0.80792 
KS Statistic..........    0.27652 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.36364 
std mean diff.........     31.189 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.045455 
med  eCDF diff........   0.081439 	 	   0.045455 
max  eCDF diff........    0.16288 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.38746 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     16.636 
std mean diff.........     9.1048 	 	     6.5674 

mean raw eQQ diff.....     4.4545 	 	          3 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.086605 	 	     0.0625 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	    0.89362 
T-test p-value........    0.79629 	 	    0.59256 
KS Bootstrap p-value..      0.823 	 	      0.979 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.055822 
Variable Name(s): log.war.dead.pct  Number(s): 15 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	     0.2741 
std mean diff.........     95.056 	 	      81.86 

mean raw eQQ diff.....    0.34315 	 	    0.29988 
med  raw eQQ diff.....    0.28571 	 	    0.26316 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.25175 
med  eCDF diff........     0.3447 	 	    0.27273 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.4256 
T-test p-value........   0.012043 	 	   0.056039 
KS Bootstrap p-value..      0.031 	 	       0.36 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.7271 
std mean diff.........    -102.09 	 	    -112.25 

mean raw eQQ diff.....    0.95999 	 	     1.2011 
med  raw eQQ diff.....    0.60897 	 	     1.0603 
max  raw eQQ diff.....     2.3128 	 	      2.176 

mean eCDF diff........    0.20668 	 	    0.26316 
med  eCDF diff........    0.21023 	 	    0.27273 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.63202 	 	    0.54392 
T-test p-value........   0.016439 	 	   0.057535 
KS Bootstrap p-value..      0.179 	 	       0.17 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.14192 
std mean diff.........     33.929 	 	     40.287 

mean raw eQQ diff.....    0.13931 	 	    0.16077 
med  raw eQQ diff.....   0.031818 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........   0.076156 	 	    0.12397 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.6691 
T-test p-value........     0.3088 	 	    0.26442 
KS Bootstrap p-value..      0.554 	 	      0.918 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34272 
std mean diff.........     47.436 	 	     23.667 

mean raw eQQ diff.....    0.13724 	 	   0.071969 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.19792 	 	   0.080808 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     1.7608 
T-test p-value........    0.19269 	 	     0.2767 
KS Bootstrap p-value..      0.026 	 	      0.719 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.9922 
std mean diff.........    -63.836 	 	    -85.814 

mean raw eQQ diff.....    0.69778 	 	    0.64118 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16867 	 	    0.16883 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.24158 
T-test p-value........    0.21801 	 	    0.16434 
KS Bootstrap p-value..      0.188 	 	      0.411 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19233 
std mean diff.........     27.172 	 	     24.164 

mean raw eQQ diff.....   0.066915 	 	   0.074033 
med  raw eQQ diff.....   0.071429 	 	   0.071429 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........   0.098304 	 	   0.096591 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	      1.366 
T-test p-value........    0.44287 	 	    0.22665 
KS Bootstrap p-value..      0.646 	 	      0.739 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.056039 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2741   0.5740   0.2999           0.1656   0.9742  1.8104  .      
ave.log.duration.prev5          2.7271   1.5259   -1.2011          0.6668   -0.9422 -1.8012 .      
ave.outcome.prev5               0.1419   0.3027   0.1608           0.1444   0.4859  1.1137         
ForceUS.prop.prev10             0.3427   0.3965   0.0538           0.0495   0.2673  1.0870         
ave.log.duration.prev10         2.9922   2.5386   -0.4536          0.3317   -0.5353 -1.3672        
ave.outcome.prev10              0.1923   0.2410   0.0487           0.0405   0.2597  1.2009         
---Overall Test---
      chisquare df p.value
strat      6.41  6   0.379
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     13 
$p.values
ForceUS     NPC 
  0.677   0.677 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2204896 41.4738431  0.1037894 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2824176 50.6387030  0.2459624 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 17.087944   1.862965   7.783786 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.141820   1.270551   1.576920 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs TRUE ***


Tue Apr 21 13:28:15 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.468395e-02  7.010041e-02  1.037316e-01  1.487139e-01  1.490070e-01  1.490070e-01  3.063299e-01  3.127625e-01  3.189527e-01  3.189527e-01  3.233566e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.820725e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.258354e-01  7.232445e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.598374e-01  9.136785e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      1 	6.582799e-02  8.118703e-02  9.824192e-02  1.294615e-01  2.058362e-01  2.172945e-01  2.976483e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.804916e-01  4.315913e-01  4.536957e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.780914e-01  5.034344e-01  5.706690e-01  5.706690e-01  7.952814e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.756090e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	7.796728e-02  8.355463e-02  9.420140e-02  9.824192e-02  1.850680e-01  2.001282e-01  2.058362e-01  3.144830e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.572008e-01  5.706690e-01  5.706690e-01  6.394013e-01  7.241014e-01  7.313616e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.637405e-01  9.826759e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.796728e-02  8.355463e-02  9.420140e-02  9.824192e-02  1.850680e-01  2.001282e-01  2.058362e-01  3.144830e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.572008e-01  5.706690e-01  5.706690e-01  6.394013e-01  7.241014e-01  7.313616e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.637405e-01  9.826759e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.127284e+01
 X[ 2] :	1.723882e+02
 X[ 3] :	3.846792e+01
 X[ 4] :	7.122721e+02
 X[ 5] :	1.290627e+02
 X[ 6] :	9.930921e+02
 X[ 7] :	9.894907e+01
 X[ 8] :	1.881947e+02
 X[ 9] :	5.107685e+02
 X[10] :	1.430405e+02
 X[11] :	5.512113e+01
 X[12] :	6.955385e+02
 X[13] :	3.255627e+02
 X[14] :	1.318660e+02
 X[15] :	5.047647e+02
 X[16] :	2.598112e+01
 X[17] :	2.756093e+02
 X[18] :	4.498925e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 21 13:46:46 2015
Total run time : 0 hours 18 minutes and 31 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6  Roosevelt, F.        10          8
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13       Buchanan         6          5
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7           Ford         4          4
10     Clinton        24         10          Obama         4          3
11 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1925.5 
std mean diff.........    -23.611 	 	    -39.493 

mean raw eQQ diff.....     25.545 	 	     29.727 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         68 

mean eCDF diff........    0.15758 	 	    0.14354 
med  eCDF diff........    0.12879 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.4081 
T-test p-value........    0.48649 	 	   0.077967 
KS Bootstrap p-value..       0.08 	 	      0.402 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	      1.912 
std mean diff.........   -0.23177 	 	     -1.635 

mean raw eQQ diff.....    0.14681 	 	    0.24933 
med  raw eQQ diff.....    0.09531 	 	    0.28768 
max  raw eQQ diff.....    0.40547 	 	    0.69315 

mean eCDF diff........   0.054293 	 	   0.083916 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.0531 
T-test p-value........    0.99486 	 	    0.96374 
KS Bootstrap p-value..      0.954 	 	      0.955 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     8.0909 
std mean diff.........   -0.92162 	 	    -5.2045 

mean raw eQQ diff.....     1.3636 	 	     1.6364 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.077922 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.3452 
T-test p-value........    0.97906 	 	     0.6394 
KS Bootstrap p-value..      0.571 	 	      0.711 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.2276 
std mean diff.........     21.666 	 	     17.369 

mean raw eQQ diff.....     1.3707 	 	     2.0574 
med  raw eQQ diff.....     1.0732 	 	     1.4593 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.18182 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.28788 	 	    0.36364 

var ratio (Tr/Co).....     0.9519 	 	    0.43064 
T-test p-value........    0.56157 	 	     0.7241 
KS Bootstrap p-value..      0.346 	 	      0.331 
KS Naive p-value......    0.55945 	 	    0.46107 
KS Statistic..........    0.28788 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.39323 
std mean diff.........     95.056 	 	     49.341 

mean raw eQQ diff.....    0.34315 	 	    0.18075 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.10606 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.8086 
T-test p-value........   0.012043 	 	   0.098242 
KS Bootstrap p-value..      0.031 	 	      0.354 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2371 
std mean diff.........    -102.09 	 	    -66.459 

mean raw eQQ diff.....    0.95999 	 	    0.71114 
med  raw eQQ diff.....    0.60897 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.17045 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     0.8939 
T-test p-value........   0.016439 	 	   0.083555 
KS Bootstrap p-value..      0.196 	 	        0.4 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.15541 
std mean diff.........     33.929 	 	     36.908 

mean raw eQQ diff.....    0.13931 	 	    0.14729 
med  raw eQQ diff.....   0.031818 	 	   0.052632 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........   0.076156 	 	    0.10909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.8864 
T-test p-value........     0.3088 	 	    0.20013 
KS Bootstrap p-value..      0.523 	 	      0.923 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34939 
std mean diff.........     47.436 	 	     20.729 

mean raw eQQ diff.....    0.13724 	 	   0.076689 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	   0.073864 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	      1.964 
T-test p-value........    0.19269 	 	    0.31448 
KS Bootstrap p-value..      0.027 	 	      0.725 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6092 
std mean diff.........    -63.836 	 	    -13.365 

mean raw eQQ diff.....    0.69778 	 	    0.35324 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.18182 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.24893 	 	    0.53873 
T-test p-value........    0.21801 	 	    0.73136 
KS Bootstrap p-value..      0.189 	 	      0.166 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19326 
std mean diff.........     27.172 	 	     23.706 

mean raw eQQ diff.....   0.066915 	 	   0.069381 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1039 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.3083 
T-test p-value........    0.44287 	 	    0.18507 
KS Bootstrap p-value..      0.616 	 	      0.705 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	    0.18182 
std mean diff.........    -25.126 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.037879 	 	   0.045455 
med  eCDF diff........   0.037879 	 	   0.045455 
max  eCDF diff........   0.075758 	 	   0.090909 

var ratio (Tr/Co).....    0.62727 	 	    0.55556 
T-test p-value........    0.53236 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -3.5251 
std mean diff.........    -69.824 	 	     -28.78 

mean raw eQQ diff.....     1.6689 	 	    0.76897 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.18826 	 	   0.090909 
med  eCDF diff........     0.1572 	 	          0 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     1.5982 
T-test p-value........   0.059093 	 	   0.094201 
KS Bootstrap p-value..      0.014 	 	      0.299 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     33.028 
std mean diff.........    -27.864 	 	   -0.46136 

mean raw eQQ diff.....     5.5822 	 	      4.447 
med  raw eQQ diff.....     4.5455 	 	     4.0455 
max  raw eQQ diff.....     17.833 	 	     15.696 

mean eCDF diff........   0.084044 	 	   0.090909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.27273 

var ratio (Tr/Co).....    0.92792 	 	     1.1406 
T-test p-value........    0.45834 	 	    0.98268 
KS Bootstrap p-value..      0.462 	 	       0.69 
KS Naive p-value......    0.61132 	 	    0.80792 
KS Statistic..........    0.27652 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.27273 
std mean diff.........     31.189 	 	     34.816 

mean raw eQQ diff.....    0.18182 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.090909 
med  eCDF diff........   0.081439 	 	   0.090909 
max  eCDF diff........    0.16288 	 	    0.18182 

var ratio (Tr/Co).....     1.2651 	 	       1.25 
T-test p-value........    0.38746 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     18.455 
std mean diff.........     9.1048 	 	    -5.3733 

mean raw eQQ diff.....     4.4545 	 	     2.4545 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.086605 	 	   0.066667 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	    0.84288 
T-test p-value........    0.79629 	 	     0.5572 
KS Bootstrap p-value..      0.823 	 	      0.968 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.077967 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.39323 
std mean diff.........     95.056 	 	     49.341 

mean raw eQQ diff.....    0.34315 	 	    0.18075 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.10606 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.8086 
T-test p-value........   0.012043 	 	   0.098242 
KS Bootstrap p-value..      0.031 	 	      0.347 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2371 
std mean diff.........    -102.09 	 	    -66.459 

mean raw eQQ diff.....    0.95999 	 	    0.71114 
med  raw eQQ diff.....    0.60897 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.17045 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	     0.8939 
T-test p-value........   0.016439 	 	   0.083555 
KS Bootstrap p-value..      0.179 	 	      0.387 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.15541 
std mean diff.........     33.929 	 	     36.908 

mean raw eQQ diff.....    0.13931 	 	    0.14729 
med  raw eQQ diff.....   0.031818 	 	   0.052632 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........   0.076156 	 	    0.10909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.8864 
T-test p-value........     0.3088 	 	    0.20013 
KS Bootstrap p-value..      0.554 	 	      0.909 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.34939 
std mean diff.........     47.436 	 	     20.729 

mean raw eQQ diff.....    0.13724 	 	   0.076689 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	   0.073864 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	      1.964 
T-test p-value........    0.19269 	 	    0.31448 
KS Bootstrap p-value..      0.026 	 	      0.701 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6092 
std mean diff.........    -63.836 	 	    -13.365 

mean raw eQQ diff.....    0.69778 	 	    0.35324 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.18182 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.24893 	 	    0.53873 
T-test p-value........    0.21801 	 	    0.73136 
KS Bootstrap p-value..      0.188 	 	      0.169 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19326 
std mean diff.........     27.172 	 	     23.706 

mean raw eQQ diff.....   0.066915 	 	   0.069381 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1039 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.3083 
T-test p-value........    0.44287 	 	    0.18507 
KS Bootstrap p-value..      0.646 	 	       0.72 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.083555 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3932   0.5740   0.1808           0.1131   0.5992  1.5978         
ave.log.duration.prev5          2.2371   1.5259   -0.7111          0.4277   -0.6457 -1.6628 .      
ave.outcome.prev5               0.1554   0.3027   0.1473           0.1162   0.4498  1.2676         
ForceUS.prop.prev10             0.3494   0.3965   0.0471           0.0467   0.2386  1.0089         
ave.log.duration.prev10         2.6092   2.5386   -0.0706          0.2012   -0.1118 -0.3511        
ave.outcome.prev10              0.1933   0.2410   0.0477           0.0365   0.2524  1.3080         
---Overall Test---
      chisquare df p.value
strat      5.51  6    0.48
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     31 
$p.values
ForceUS     NPC 
  0.362   0.362 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2050764 21.6994609  0.1080413 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2523310 43.7048285  0.2551615 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 14.047731   1.488169   7.031559 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.777466   0.983941   1.443622 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs FALSE ***


Tue Apr 21 14:01:16 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.064314e-02  5.030818e-02  6.060008e-02  6.968693e-02  6.968693e-02  9.771635e-02  1.438070e-01  2.058362e-01  2.058362e-01  2.084918e-01  2.239167e-01  2.266226e-01  2.606227e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.898843e-01  5.834829e-01  7.717929e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.824607e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.758083e-02  5.169295e-02  6.968693e-02  6.968693e-02  9.672068e-02  9.771635e-02  1.425951e-01  1.438070e-01  1.490805e-01  1.937458e-01  2.058362e-01  2.366611e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.410862e-01  8.036087e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.794263e-01  9.104057e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.758083e-02  5.169295e-02  6.968693e-02  6.968693e-02  9.771635e-02  1.027566e-01  1.425951e-01  1.438070e-01  1.579919e-01  1.937458e-01  2.058362e-01  2.366611e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.410862e-01  8.006686e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.754575e-01  9.104057e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	3.869659e-02  6.968693e-02  6.968693e-02  9.286751e-02  9.519792e-02  1.336230e-01  1.364261e-01  1.438070e-01  1.488863e-01  2.058362e-01  2.105661e-01  2.203193e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.733934e-01  4.791504e-01  5.706690e-01  5.706690e-01  7.875373e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.162171e-01  9.681969e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      6 	3.913508e-02  8.709836e-02  9.009005e-02  9.009005e-02  9.039675e-02  9.477084e-02  1.026198e-01  1.438070e-01  1.804608e-01  1.910016e-01  2.058362e-01  2.097595e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.730119e-01  4.791504e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  7.147519e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.087684e-01  8.155516e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	4.427951e-02  4.427951e-02  5.713654e-02  6.369171e-02  6.413895e-02  8.709836e-02  1.386400e-01  1.756329e-01  2.058362e-01  2.272830e-01  2.434406e-01  2.554960e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.637914e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.497805e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  8.032434e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.062179e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.427951e-02  4.427951e-02  5.713654e-02  6.369171e-02  6.413895e-02  8.709836e-02  1.386400e-01  1.756329e-01  2.058362e-01  2.272830e-01  2.434406e-01  2.554960e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.637914e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.497805e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  8.032434e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.062179e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.609048e+02
 X[ 2] :	8.883016e+02
 X[ 3] :	2.669355e+02
 X[ 4] :	8.729960e+02
 X[ 5] :	9.909026e+01
 X[ 6] :	7.247676e+02
 X[ 7] :	6.932526e+02
 X[ 8] :	5.821331e+02
 X[ 9] :	3.635736e+02
 X[10] :	4.899259e+02
 X[11] :	2.204851e+01
 X[12] :	7.258346e+02
 X[13] :	1.316966e+02
 X[14] :	1.817395e+01
 X[15] :	5.093448e+02
 X[16] :	2.625487e+02
 X[17] :	2.149220e+02
 X[18] :	8.284816e+02
 X[19] :	7.595565e+00
 X[20] :	6.429635e+01

Solution Found Generation 7
Number of Generations Run 18

Tue Apr 21 14:27:28 2015
Total run time : 0 hours 26 minutes and 12 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Arthur         2          1
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4          Grant         7          6
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5        Lincoln         4          3
7       Wilson        15         13  Roosevelt, F.        10          8
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7           Ford         4          4
10     Clinton        24         10          Obama         4          3
11 Bush, G. W.        24         20          Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.54545 
std mean diff.........    -24.661 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.045455 
med  eCDF diff........   0.064394 	 	   0.045455 
max  eCDF diff........    0.12879 	 	   0.090909 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1916.4 
std mean diff.........    -23.611 	 	    -27.416 

mean raw eQQ diff.....     25.545 	 	     21.909 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         40 

mean eCDF diff........    0.15758 	 	     0.1281 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.5378 
T-test p-value........    0.48649 	 	   0.063692 
KS Bootstrap p-value..       0.08 	 	      0.417 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.8368 
std mean diff.........   -0.23177 	 	     4.5426 

mean raw eQQ diff.....    0.14681 	 	    0.17417 
med  raw eQQ diff.....    0.09531 	 	    0.09531 
max  raw eQQ diff.....    0.40547 	 	    0.46262 

mean eCDF diff........   0.054293 	 	   0.064935 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.0788 
T-test p-value........    0.99486 	 	    0.90622 
KS Bootstrap p-value..      0.954 	 	      0.964 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     9.0909 
std mean diff.........   -0.92162 	 	    -19.517 

mean raw eQQ diff.....     1.3636 	 	     1.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.066919 	 	   0.097403 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.1543 
T-test p-value........    0.97906 	 	   0.087098 
KS Bootstrap p-value..      0.571 	 	       0.72 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.1922 
std mean diff.........     21.666 	 	     18.818 

mean raw eQQ diff.....     1.3707 	 	      1.346 
med  raw eQQ diff.....     1.0732 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.12727 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.28788 	 	    0.36364 

var ratio (Tr/Co).....     0.9519 	 	    0.67972 
T-test p-value........    0.56157 	 	    0.54978 
KS Bootstrap p-value..      0.346 	 	      0.348 
KS Naive p-value......    0.55945 	 	    0.46107 
KS Statistic..........    0.28788 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.31174 
std mean diff.........     95.056 	 	     71.586 

mean raw eQQ diff.....    0.34315 	 	    0.26224 
med  raw eQQ diff.....    0.28571 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.18182 
med  eCDF diff........     0.3447 	 	    0.18182 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     3.2487 
T-test p-value........   0.012043 	 	   0.057137 
KS Bootstrap p-value..      0.031 	 	      0.368 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.3427 
std mean diff.........    -102.09 	 	    -76.331 

mean raw eQQ diff.....    0.95999 	 	    0.81677 
med  raw eQQ diff.....    0.60897 	 	    0.76183 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.20574 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	    0.83966 
T-test p-value........   0.016439 	 	   0.064139 
KS Bootstrap p-value..      0.196 	 	      0.408 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.21223 
std mean diff.........     33.929 	 	      22.67 

mean raw eQQ diff.....    0.13931 	 	   0.099298 
med  raw eQQ diff.....   0.031818 	 	   0.018797 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.4165 
T-test p-value........     0.3088 	 	    0.22728 
KS Bootstrap p-value..      0.523 	 	       0.94 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.29717 
std mean diff.........     47.436 	 	     43.705 

mean raw eQQ diff.....    0.13724 	 	   0.099329 
med  raw eQQ diff.....    0.12857 	 	   0.071429 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.17225 
med  eCDF diff........    0.20833 	 	    0.18182 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.322 	 	     2.7676 
T-test p-value........    0.19269 	 	     0.2555 
KS Bootstrap p-value..      0.027 	 	      0.176 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	      2.593 
std mean diff.........    -63.836 	 	    -10.289 

mean raw eQQ diff.....    0.69778 	 	    0.31973 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.12554 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.51624 
T-test p-value........    0.21801 	 	    0.80324 
KS Bootstrap p-value..      0.189 	 	      0.408 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18731 
std mean diff.........     27.172 	 	     26.658 

mean raw eQQ diff.....   0.066915 	 	   0.075325 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.13068 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2863 
T-test p-value........    0.44287 	 	    0.24344 
KS Bootstrap p-value..      0.616 	 	      0.734 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	    0.18182 
std mean diff.........    -25.126 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.037879 	 	   0.045455 
med  eCDF diff........   0.037879 	 	   0.045455 
max  eCDF diff........   0.075758 	 	   0.090909 

var ratio (Tr/Co).....    0.62727 	 	    0.55556 
T-test p-value........    0.53236 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -2.9946 
std mean diff.........    -69.824 	 	    -48.636 

mean raw eQQ diff.....     1.6689 	 	     1.2995 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.18826 	 	    0.13131 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     1.4674 
T-test p-value........   0.059093 	 	    0.13864 
KS Bootstrap p-value..      0.014 	 	      0.292 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     36.889 
std mean diff.........    -27.864 	 	    -21.135 

mean raw eQQ diff.....     5.5822 	 	     5.4543 
med  raw eQQ diff.....     4.5455 	 	     5.4441 
max  raw eQQ diff.....     17.833 	 	     13.667 

mean eCDF diff........   0.084044 	 	    0.10048 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.27273 

var ratio (Tr/Co).....    0.92792 	 	    0.83883 
T-test p-value........    0.45834 	 	    0.36379 
KS Bootstrap p-value..      0.462 	 	      0.719 
KS Naive p-value......    0.61132 	 	    0.80792 
KS Statistic..........    0.27652 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.36364 
std mean diff.........     31.189 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.045455 
med  eCDF diff........   0.081439 	 	   0.045455 
max  eCDF diff........    0.16288 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.38746 	 	    0.66138 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     19.909 
std mean diff.........     9.1048 	 	    -14.926 

mean raw eQQ diff.....     4.4545 	 	     2.2727 
med  raw eQQ diff.....          3 	 	          1 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.086605 	 	   0.064171 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	    0.86484 
T-test p-value........    0.79629 	 	    0.17563 
KS Bootstrap p-value..      0.823 	 	       0.98 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     119.86 	 	     112.37 

mean raw eQQ diff.....    0.45455 	 	    0.45455 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.24242 	 	    0.22727 
med  eCDF diff........    0.24242 	 	    0.22727 
max  eCDF diff........    0.48485 	 	    0.45455 

var ratio (Tr/Co).....    0.70568 	 	    0.64286 
T-test p-value........  0.0051069 	 	    0.04428 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.04428 
Variable Name(s): DemDR  Number(s): 19 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.31174 
std mean diff.........     95.056 	 	     71.586 

mean raw eQQ diff.....    0.34315 	 	    0.26224 
med  raw eQQ diff.....    0.28571 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.18182 
med  eCDF diff........     0.3447 	 	    0.18182 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     3.2487 
T-test p-value........   0.012043 	 	   0.057137 
KS Bootstrap p-value..      0.031 	 	       0.39 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.3427 
std mean diff.........    -102.09 	 	    -76.331 

mean raw eQQ diff.....    0.95999 	 	    0.81677 
med  raw eQQ diff.....    0.60897 	 	    0.76183 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.20574 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	    0.83966 
T-test p-value........   0.016439 	 	   0.064139 
KS Bootstrap p-value..      0.179 	 	        0.4 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.21223 
std mean diff.........     33.929 	 	      22.67 

mean raw eQQ diff.....    0.13931 	 	   0.099298 
med  raw eQQ diff.....   0.031818 	 	   0.018797 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.4165 
T-test p-value........     0.3088 	 	    0.22728 
KS Bootstrap p-value..      0.554 	 	      0.944 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.29717 
std mean diff.........     47.436 	 	     43.705 

mean raw eQQ diff.....    0.13724 	 	   0.099329 
med  raw eQQ diff.....    0.12857 	 	   0.071429 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.17225 
med  eCDF diff........    0.20833 	 	    0.18182 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.322 	 	     2.7676 
T-test p-value........    0.19269 	 	     0.2555 
KS Bootstrap p-value..      0.026 	 	      0.164 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	      2.593 
std mean diff.........    -63.836 	 	    -10.289 

mean raw eQQ diff.....    0.69778 	 	    0.31973 
med  raw eQQ diff.....    0.50644 	 	    0.11203 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.12554 
med  eCDF diff........    0.16288 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.51624 
T-test p-value........    0.21801 	 	    0.80324 
KS Bootstrap p-value..      0.188 	 	      0.424 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18731 
std mean diff.........     27.172 	 	     26.658 

mean raw eQQ diff.....   0.066915 	 	   0.075325 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.13068 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2863 
T-test p-value........    0.44287 	 	    0.24344 
KS Bootstrap p-value..      0.646 	 	      0.737 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.057137 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3117   0.5740   0.2622           0.1454   0.8853  1.8037  .      
ave.log.duration.prev5          2.3427   1.5259   -0.8168          0.4634   -0.7293 -1.7625 .      
ave.outcome.prev5               0.2122   0.3027   0.0905           0.0754   0.2696  1.1994         
ForceUS.prop.prev10             0.2972   0.3965   0.0993           0.0876   0.5297  1.1336         
ave.log.duration.prev10         2.5930   2.5386   -0.0544          0.2132   -0.0849 -0.2551        
ave.outcome.prev10              0.1873   0.2410   0.0537           0.0462   0.2828  1.1611         
---Overall Test---
      chisquare df p.value
strat       7.2  6   0.303
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     29 
$p.values
ForceUS     NPC 
  0.132   0.132 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1790043 44.6792208  0.1114719 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2338967 57.6583639  0.2513736 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 12.440801   2.152599   7.641991 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.678876   1.279981   1.664766 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs TRUE ***


Tue Apr 21 14:43:53 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.872070e-02  6.693042e-02  8.540094e-02  1.046483e-01  1.098169e-01  1.730998e-01  1.730998e-01  3.176977e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.974201e-01  4.095153e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.034344e-01  5.302882e-01  5.706690e-01  5.706690e-01  7.395532e-01  7.994713e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.550153e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.464885e-02  8.045428e-02  8.965745e-02  1.148558e-01  1.561707e-01  2.423636e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.974201e-01  4.041166e-01  4.192428e-01  4.192428e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.899820e-01  5.034344e-01  5.702767e-01  5.706690e-01  5.706690e-01  6.868102e-01  7.649151e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	6.468395e-02  7.010041e-02  1.037316e-01  1.487139e-01  1.490070e-01  1.490070e-01  3.063299e-01  3.127625e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.233566e-01  4.192428e-01  4.192428e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.820725e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.258354e-01  7.232445e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.598374e-01  9.136785e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.468395e-02  7.010041e-02  1.037316e-01  1.487139e-01  1.490070e-01  1.490070e-01  3.063299e-01  3.127625e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.233566e-01  4.192428e-01  4.192428e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.820725e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.258354e-01  7.232445e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.598374e-01  9.136785e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.142712e+02
 X[ 2] :	3.718121e+02
 X[ 3] :	3.204874e+02
 X[ 4] :	4.168615e+02
 X[ 5] :	6.887923e+01
 X[ 6] :	5.374456e+02
 X[ 7] :	4.016459e+02
 X[ 8] :	3.532571e+02
 X[ 9] :	8.073287e+01
 X[10] :	3.161917e+02
 X[11] :	9.047800e+02
 X[12] :	7.131436e+02
 X[13] :	2.091847e+02
 X[14] :	3.083114e+01
 X[15] :	7.877915e+02
 X[16] :	3.088960e+02
 X[17] :	6.313118e+02
 X[18] :	6.031357e+02
 X[19] :	5.036946e+01
 X[20] :	1.943261e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 21 15:03:47 2015
Total run time : 0 hours 19 minutes and 54 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1918.2 
std mean diff.........    -23.611 	 	    -29.831 

mean raw eQQ diff.....     25.545 	 	     23.364 
med  raw eQQ diff.....         28 	 	         20 
max  raw eQQ diff.....         44 	 	         56 

mean eCDF diff........    0.15758 	 	    0.11962 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.27273 

var ratio (Tr/Co).....     2.2792 	 	     1.3968 
T-test p-value........    0.48649 	 	   0.064684 
KS Bootstrap p-value..       0.08 	 	      0.752 
KS Naive p-value......    0.10915 	 	    0.80792 
KS Statistic..........    0.41288 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.8038 
std mean diff.........   -0.23177 	 	     7.2529 

mean raw eQQ diff.....    0.14681 	 	     0.1633 
med  raw eQQ diff.....    0.09531 	 	    0.16034 
max  raw eQQ diff.....    0.40547 	 	    0.40547 

mean eCDF diff........   0.054293 	 	   0.071429 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.0543 
T-test p-value........    0.99486 	 	    0.85984 
KS Bootstrap p-value..      0.954 	 	      0.965 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     7.8182 
std mean diff.........   -0.92162 	 	    -1.3011 

mean raw eQQ diff.....     1.3636 	 	     1.7273 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.084416 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.3279 
T-test p-value........    0.97906 	 	    0.91368 
KS Bootstrap p-value..      0.571 	 	      0.695 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     4.7001 
std mean diff.........     21.666 	 	     38.994 

mean raw eQQ diff.....     1.3707 	 	     1.8381 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.20979 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.28788 	 	    0.36364 

var ratio (Tr/Co).....     0.9519 	 	    0.61357 
T-test p-value........    0.56157 	 	    0.31276 
KS Bootstrap p-value..      0.346 	 	      0.328 
KS Naive p-value......    0.55945 	 	    0.46107 
KS Statistic..........    0.28788 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.38262 
std mean diff.........     95.056 	 	     52.236 

mean raw eQQ diff.....    0.34315 	 	    0.20002 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.11364 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.3261 
T-test p-value........   0.012043 	 	    0.10373 
KS Bootstrap p-value..      0.031 	 	      0.348 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.5309 
std mean diff.........    -102.09 	 	    -93.918 

mean raw eQQ diff.....    0.95999 	 	      1.005 
med  raw eQQ diff.....    0.60897 	 	    0.99173 
max  raw eQQ diff.....     2.3128 	 	     1.7455 

mean eCDF diff........    0.20668 	 	    0.22727 
med  eCDF diff........    0.21023 	 	    0.22727 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	    0.67487 
T-test p-value........   0.016439 	 	     0.0701 
KS Bootstrap p-value..      0.196 	 	      0.404 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.24481 
std mean diff.........     33.929 	 	     14.507 

mean raw eQQ diff.....    0.13931 	 	    0.09795 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........   0.076156 	 	   0.063636 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     1.9617 
T-test p-value........     0.3088 	 	    0.62584 
KS Bootstrap p-value..      0.523 	 	      0.929 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.32771 
std mean diff.........     47.436 	 	      30.27 

mean raw eQQ diff.....    0.13724 	 	   0.082114 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.10227 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.18182 

var ratio (Tr/Co).....      1.322 	 	     2.3856 
T-test p-value........    0.19269 	 	    0.14871 
KS Bootstrap p-value..      0.027 	 	      0.966 
KS Naive p-value......   0.051567 	 	    0.99336 
KS Statistic..........    0.49242 	 	    0.18182 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.7996 
std mean diff.........    -63.836 	 	    -49.381 

mean raw eQQ diff.....    0.69778 	 	    0.41961 
med  raw eQQ diff.....    0.50644 	 	   0.097013 
max  raw eQQ diff.....     1.8581 	 	       1.43 

mean eCDF diff........    0.16867 	 	    0.15657 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.37999 
T-test p-value........    0.21801 	 	    0.30633 
KS Bootstrap p-value..      0.189 	 	      0.392 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.21235 
std mean diff.........     27.172 	 	     14.224 

mean raw eQQ diff.....   0.066915 	 	   0.078259 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.12987 
med  eCDF diff........   0.090909 	 	    0.13636 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.1432 
T-test p-value........    0.44287 	 	    0.48207 
KS Bootstrap p-value..      0.616 	 	      0.723 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	    0.18182 
std mean diff.........    -25.126 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.037879 	 	   0.045455 
med  eCDF diff........   0.037879 	 	   0.045455 
max  eCDF diff........   0.075758 	 	   0.090909 

var ratio (Tr/Co).....    0.62727 	 	    0.55556 
T-test p-value........    0.53236 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -3.9169 
std mean diff.........    -69.824 	 	    -14.116 

mean raw eQQ diff.....     1.6689 	 	    0.79078 
med  raw eQQ diff.....     1.2586 	 	    0.16944 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.18826 	 	   0.080808 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.18182 

var ratio (Tr/Co).....     1.5145 	 	     1.5601 
T-test p-value........   0.059093 	 	    0.32336 
KS Bootstrap p-value..      0.014 	 	       0.94 
KS Naive p-value......   0.051567 	 	    0.99336 
KS Statistic..........    0.49242 	 	    0.18182 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     33.922 
std mean diff.........    -27.864 	 	     -5.249 

mean raw eQQ diff.....     5.5822 	 	     3.7859 
med  raw eQQ diff.....     4.5455 	 	     5.2045 
max  raw eQQ diff.....     17.833 	 	     7.1429 

mean eCDF diff........   0.084044 	 	   0.090909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.27273 

var ratio (Tr/Co).....    0.92792 	 	    0.81386 
T-test p-value........    0.45834 	 	    0.72324 
KS Bootstrap p-value..      0.462 	 	      0.707 
KS Naive p-value......    0.61132 	 	    0.80792 
KS Statistic..........    0.27652 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.36364 
std mean diff.........     31.189 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.045455 
med  eCDF diff........   0.081439 	 	   0.045455 
max  eCDF diff........    0.16288 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.38746 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     16.545 
std mean diff.........     9.1048 	 	     7.1644 

mean raw eQQ diff.....     4.4545 	 	     2.1818 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         12 	 	          6 

mean eCDF diff........   0.086605 	 	   0.072727 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	     1.1959 
T-test p-value........    0.79629 	 	    0.42791 
KS Bootstrap p-value..      0.823 	 	      0.969 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.63636 
std mean diff.........     119.86 	 	     44.947 

mean raw eQQ diff.....    0.45455 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.24242 	 	   0.090909 
med  eCDF diff........    0.24242 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.18182 

var ratio (Tr/Co).....    0.70568 	 	    0.64286 
T-test p-value........  0.0051069 	 	    0.41924 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.064684 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.38262 
std mean diff.........     95.056 	 	     52.236 

mean raw eQQ diff.....    0.34315 	 	    0.20002 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.11364 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.3261 
T-test p-value........   0.012043 	 	    0.10373 
KS Bootstrap p-value..      0.031 	 	      0.355 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.5309 
std mean diff.........    -102.09 	 	    -93.918 

mean raw eQQ diff.....    0.95999 	 	      1.005 
med  raw eQQ diff.....    0.60897 	 	    0.99173 
max  raw eQQ diff.....     2.3128 	 	     1.7455 

mean eCDF diff........    0.20668 	 	    0.22727 
med  eCDF diff........    0.21023 	 	    0.22727 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.63202 	 	    0.67487 
T-test p-value........   0.016439 	 	     0.0701 
KS Bootstrap p-value..      0.179 	 	      0.392 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.24481 
std mean diff.........     33.929 	 	     14.507 

mean raw eQQ diff.....    0.13931 	 	    0.09795 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........   0.076156 	 	   0.063636 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     1.9617 
T-test p-value........     0.3088 	 	    0.62584 
KS Bootstrap p-value..      0.554 	 	      0.925 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.32771 
std mean diff.........     47.436 	 	      30.27 

mean raw eQQ diff.....    0.13724 	 	   0.082114 
med  raw eQQ diff.....    0.12857 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.10227 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.18182 

var ratio (Tr/Co).....      1.322 	 	     2.3856 
T-test p-value........    0.19269 	 	    0.14871 
KS Bootstrap p-value..      0.026 	 	      0.966 
KS Naive p-value......   0.051567 	 	    0.99336 
KS Statistic..........    0.49242 	 	    0.18182 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.7996 
std mean diff.........    -63.836 	 	    -49.381 

mean raw eQQ diff.....    0.69778 	 	    0.41961 
med  raw eQQ diff.....    0.50644 	 	   0.097013 
max  raw eQQ diff.....     1.8581 	 	       1.43 

mean eCDF diff........    0.16867 	 	    0.15657 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.37999 
T-test p-value........    0.21801 	 	    0.30633 
KS Bootstrap p-value..      0.188 	 	      0.393 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.21235 
std mean diff.........     27.172 	 	     14.224 

mean raw eQQ diff.....   0.066915 	 	   0.078259 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	    0.12987 
med  eCDF diff........   0.090909 	 	    0.13636 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.1432 
T-test p-value........    0.44287 	 	    0.48207 
KS Bootstrap p-value..      0.646 	 	      0.709 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0701 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3826   0.5740   0.1914           0.1215   0.6178  1.5752         
ave.log.duration.prev5          2.5309   1.5259   -1.0050          0.5810   -0.8431 -1.7299 .      
ave.outcome.prev5               0.2448   0.3027   0.0579           0.1164   0.1670  0.4973         
ForceUS.prop.prev10             0.3277   0.3965   0.0688           0.0486   0.3593  1.4151         
ave.log.duration.prev10         2.7996   2.5386   -0.2610          0.2546   -0.3665 -1.0252        
ave.outcome.prev10              0.2124   0.2410   0.0286           0.0402   0.1469  0.7130         
---Overall Test---
      chisquare df p.value
strat      8.96  6   0.176
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     35 
$p.values
ForceUS     NPC 
  0.272   0.272 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.28401361 34.47959184  0.03911565 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3279804 51.0766900  0.1972611 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 18.886905   1.740285   2.585034 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.1928093  0.8788994  1.0583586 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs FALSE ***


Tue Apr 21 15:22:45 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	2.965010e-02  5.097793e-02  6.731428e-02  1.016899e-01  1.302039e-01  1.490070e-01  1.490070e-01  1.633181e-01  1.665008e-01  2.508985e-01  3.020468e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.202289e-01  3.494989e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.677386e-01  9.123504e-01  9.755589e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.184512e-02  5.323401e-02  6.968693e-02  6.968693e-02  8.134191e-02  1.277197e-01  1.506960e-01  2.058362e-01  2.080557e-01  2.451671e-01  2.642284e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.465482e-01  4.542791e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  7.099760e-01  7.364015e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.386991e-01  9.399455e-01  9.610217e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.329361e-02  6.533785e-02  1.415632e-01  1.490070e-01  1.490070e-01  1.845314e-01  1.962354e-01  2.058362e-01  2.058362e-01  2.058362e-01  2.346926e-01  2.791368e-01  2.945353e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.389814e-01  4.382335e-01  4.610718e-01  4.791504e-01  5.706690e-01  5.706690e-01  6.984031e-01  7.607501e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.273086e-01  9.606578e-01  9.783207e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      3 	3.410540e-02  4.073215e-02  4.421185e-02  7.580170e-02  1.652965e-01  1.730022e-01  1.730998e-01  1.730998e-01  1.801807e-01  2.058362e-01  2.069313e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.429053e-01  3.838412e-01  4.192428e-01  4.192428e-01  4.604063e-01  4.610718e-01  4.610718e-01  4.791504e-01  6.030670e-01  6.084603e-01  7.043215e-01  7.594215e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.913219e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.410540e-02  4.073215e-02  4.421185e-02  7.580170e-02  1.652965e-01  1.730022e-01  1.730998e-01  1.730998e-01  1.801807e-01  2.058362e-01  2.069313e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.429053e-01  3.838412e-01  4.192428e-01  4.192428e-01  4.604063e-01  4.610718e-01  4.610718e-01  4.791504e-01  6.030670e-01  6.084603e-01  7.043215e-01  7.594215e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.913219e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.669559e+02
 X[ 2] :	8.828430e+02
 X[ 3] :	5.357306e+02
 X[ 4] :	7.231627e+02
 X[ 5] :	3.415557e+02
 X[ 6] :	8.921493e+02
 X[ 7] :	6.550522e+01
 X[ 8] :	5.561809e+01
 X[ 9] :	2.388608e+02
 X[10] :	6.595349e+02
 X[11] :	6.043186e+01
 X[12] :	3.338283e+02
 X[13] :	1.595054e+02
 X[14] :	2.822801e+02
 X[15] :	3.550469e+02
 X[16] :	7.421594e+02
 X[17] :	1.501099e+02
 X[18] :	5.852384e+02
 X[19] :	2.291472e+02
 X[20] :	3.558538e+01
 X[21] :	7.784541e+02
 X[22] :	7.802749e+01

Solution Found Generation 3
Number of Generations Run 14

Tue Apr 21 15:45:37 2015
Total run time : 0 hours 22 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Arthur         2          1
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4      Cleveland         9          6
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5          Grant         7          6
7       Wilson        15         13  Roosevelt, F.        10          8
8  Johnson, L.        22         15        Kennedy         9          3
9       Carter         9          7           Ford         4          4
10     Clinton        24         10          Obama         4          3
11 Bush, G. W.        24         20 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.54545 
std mean diff.........    -24.661 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.045455 
med  eCDF diff........   0.064394 	 	   0.045455 
max  eCDF diff........    0.12879 	 	   0.090909 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1917.8 
std mean diff.........    -23.611 	 	    -29.348 

mean raw eQQ diff.....     25.545 	 	     23.727 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         40 

mean eCDF diff........    0.15758 	 	    0.13636 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.6683 
T-test p-value........    0.48649 	 	   0.044212 
KS Bootstrap p-value..       0.08 	 	      0.402 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     2.0734 
std mean diff.........   -0.23177 	 	    -14.907 

mean raw eQQ diff.....    0.14681 	 	    0.29864 
med  raw eQQ diff.....    0.09531 	 	    0.28768 
max  raw eQQ diff.....    0.40547 	 	    0.69315 

mean eCDF diff........   0.054293 	 	   0.090909 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.3865 
T-test p-value........    0.99486 	 	    0.60307 
KS Bootstrap p-value..      0.954 	 	      0.967 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     8.7273 
std mean diff.........   -0.92162 	 	    -14.312 

mean raw eQQ diff.....     1.3636 	 	     1.3636 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.066919 	 	   0.084416 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.0941 
T-test p-value........    0.97906 	 	     0.1653 
KS Bootstrap p-value..      0.571 	 	      0.712 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	      5.299 
std mean diff.........     21.666 	 	      14.44 

mean raw eQQ diff.....     1.3707 	 	     1.2397 
med  raw eQQ diff.....     1.0732 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.14545 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.28788 	 	    0.27273 

var ratio (Tr/Co).....     0.9519 	 	    0.59751 
T-test p-value........    0.56157 	 	    0.70432 
KS Bootstrap p-value..      0.346 	 	      0.675 
KS Naive p-value......    0.55945 	 	    0.80792 
KS Statistic..........    0.28788 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	     0.2731 
std mean diff.........     95.056 	 	     82.133 

mean raw eQQ diff.....    0.34315 	 	    0.30088 
med  raw eQQ diff.....    0.28571 	 	    0.26316 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.25175 
med  eCDF diff........     0.3447 	 	    0.27273 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.4136 
T-test p-value........   0.012043 	 	   0.034105 
KS Bootstrap p-value..      0.031 	 	      0.377 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.0744 
std mean diff.........    -102.09 	 	    -51.251 

mean raw eQQ diff.....    0.95999 	 	    0.54841 
med  raw eQQ diff.....    0.60897 	 	    0.31302 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.10048 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	    0.82898 
T-test p-value........   0.016439 	 	    0.18018 
KS Bootstrap p-value..      0.196 	 	      0.755 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22814 
std mean diff.........     33.929 	 	     18.684 

mean raw eQQ diff.....    0.13931 	 	    0.10942 
med  raw eQQ diff.....   0.031818 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	    0.06993 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.5225 
T-test p-value........     0.3088 	 	    0.38384 
KS Bootstrap p-value..      0.523 	 	       0.96 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.27687 
std mean diff.........     47.436 	 	      52.64 

mean raw eQQ diff.....    0.13724 	 	    0.11964 
med  raw eQQ diff.....    0.12857 	 	    0.10769 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.19192 
med  eCDF diff........    0.20833 	 	    0.18182 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.322 	 	     2.1325 
T-test p-value........    0.19269 	 	    0.20693 
KS Bootstrap p-value..      0.027 	 	       0.18 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.4662 
std mean diff.........    -63.836 	 	      13.69 

mean raw eQQ diff.....    0.69778 	 	    0.44465 
med  raw eQQ diff.....    0.50644 	 	    0.35082 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.22944 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.24893 	 	    0.47505 
T-test p-value........    0.21801 	 	    0.75942 
KS Bootstrap p-value..      0.189 	 	      0.058 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19689 
std mean diff.........     27.172 	 	     21.904 

mean raw eQQ diff.....   0.066915 	 	   0.065752 
med  raw eQQ diff.....   0.071429 	 	   0.055411 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	   0.096591 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.4039 
T-test p-value........    0.44287 	 	    0.46041 
KS Bootstrap p-value..      0.616 	 	      0.731 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	   0.090909 
std mean diff.........    -25.126 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.037879 	 	          0 
med  eCDF diff........   0.037879 	 	          0 
max  eCDF diff........   0.075758 	 	          0 

var ratio (Tr/Co).....    0.62727 	 	          1 
T-test p-value........    0.53236 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -2.6883 
std mean diff.........    -69.824 	 	      -60.1 

mean raw eQQ diff.....     1.6689 	 	     1.6058 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.18826 	 	    0.14141 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     1.1643 
T-test p-value........   0.059093 	 	   0.040732 
KS Bootstrap p-value..      0.014 	 	      0.305 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     37.693 
std mean diff.........    -27.864 	 	     -25.44 

mean raw eQQ diff.....     5.5822 	 	     5.0588 
med  raw eQQ diff.....     4.5455 	 	      5.375 
max  raw eQQ diff.....     17.833 	 	     13.667 

mean eCDF diff........   0.084044 	 	   0.090909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.27273 

var ratio (Tr/Co).....    0.92792 	 	    0.89675 
T-test p-value........    0.45834 	 	      0.173 
KS Bootstrap p-value..      0.462 	 	      0.736 
KS Naive p-value......    0.61132 	 	    0.80792 
KS Statistic..........    0.27652 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.27273 
std mean diff.........     31.189 	 	     34.816 

mean raw eQQ diff.....    0.18182 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.090909 
med  eCDF diff........   0.081439 	 	   0.090909 
max  eCDF diff........    0.16288 	 	    0.18182 

var ratio (Tr/Co).....     1.2651 	 	       1.25 
T-test p-value........    0.38746 	 	    0.41924 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     18.727 
std mean diff.........     9.1048 	 	    -7.1644 

mean raw eQQ diff.....     4.4545 	 	     2.5455 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.086605 	 	   0.058824 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	    0.91275 
T-test p-value........    0.79629 	 	    0.60846 
KS Bootstrap p-value..      0.823 	 	       0.98 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.54545 
std mean diff.........     119.86 	 	      67.42 

mean raw eQQ diff.....    0.45455 	 	    0.27273 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.24242 	 	    0.13636 
med  eCDF diff........    0.24242 	 	    0.13636 
max  eCDF diff........    0.48485 	 	    0.27273 

var ratio (Tr/Co).....    0.70568 	 	        0.6 
T-test p-value........  0.0051069 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........     0.3334 	 	    0.38904 
std mean diff.........     29.696 	 	     22.907 

mean raw eQQ diff.....    0.26746 	 	    0.23403 
med  raw eQQ diff.....    0.10513 	 	    0.04104 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........   0.096354 	 	   0.060606 
med  eCDF diff........   0.092803 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.18182 

var ratio (Tr/Co).....     14.144 	 	     9.4496 
T-test p-value........    0.35387 	 	    0.34291 
KS Bootstrap p-value..      0.623 	 	      0.981 
KS Naive p-value......    0.78361 	 	    0.99336 
KS Statistic..........    0.23864 	 	    0.18182 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........     0.5625 	 	    0.63636 
std mean diff.........     28.371 	 	     6.6756 

mean raw eQQ diff.....    0.11364 	 	   0.068182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.081818 	 	   0.054545 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.15909 	 	   0.090909 

var ratio (Tr/Co).....    0.68247 	 	    0.69388 
T-test p-value........    0.47397 	 	    0.89132 
KS Bootstrap p-value..      0.707 	 	      0.994 
KS Naive p-value......    0.99104 	 	          1 
KS Statistic..........    0.15909 	 	   0.090909 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.034105 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	     0.2731 
std mean diff.........     95.056 	 	     82.133 

mean raw eQQ diff.....    0.34315 	 	    0.30088 
med  raw eQQ diff.....    0.28571 	 	    0.26316 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.25175 
med  eCDF diff........     0.3447 	 	    0.27273 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.4136 
T-test p-value........   0.012043 	 	   0.034105 
KS Bootstrap p-value..      0.031 	 	      0.391 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.0744 
std mean diff.........    -102.09 	 	    -51.251 

mean raw eQQ diff.....    0.95999 	 	    0.54841 
med  raw eQQ diff.....    0.60897 	 	    0.31302 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.10048 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	    0.82898 
T-test p-value........   0.016439 	 	    0.18018 
KS Bootstrap p-value..      0.179 	 	      0.725 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22814 
std mean diff.........     33.929 	 	     18.684 

mean raw eQQ diff.....    0.13931 	 	    0.10942 
med  raw eQQ diff.....   0.031818 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	    0.06993 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.5225 
T-test p-value........     0.3088 	 	    0.38384 
KS Bootstrap p-value..      0.554 	 	      0.952 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.27687 
std mean diff.........     47.436 	 	      52.64 

mean raw eQQ diff.....    0.13724 	 	    0.11964 
med  raw eQQ diff.....    0.12857 	 	    0.10769 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.19192 
med  eCDF diff........    0.20833 	 	    0.18182 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.322 	 	     2.1325 
T-test p-value........    0.19269 	 	    0.20693 
KS Bootstrap p-value..      0.026 	 	      0.171 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.4662 
std mean diff.........    -63.836 	 	      13.69 

mean raw eQQ diff.....    0.69778 	 	    0.44465 
med  raw eQQ diff.....    0.50644 	 	    0.35082 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.22944 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.24893 	 	    0.47505 
T-test p-value........    0.21801 	 	    0.75942 
KS Bootstrap p-value..      0.188 	 	      0.067 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.19689 
std mean diff.........     27.172 	 	     21.904 

mean raw eQQ diff.....   0.066915 	 	   0.065752 
med  raw eQQ diff.....   0.071429 	 	   0.055411 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	   0.096591 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.4039 
T-test p-value........    0.44287 	 	    0.46041 
KS Bootstrap p-value..      0.646 	 	      0.732 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.034105 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2731   0.5740   0.3009           0.1526   0.9767  1.9720  *      
ave.log.duration.prev5          2.0744   1.5259   -0.5484          0.4150   -0.4880 -1.3216        
ave.outcome.prev5               0.2281   0.3027   0.0746           0.0849   0.2236  0.8783         
ForceUS.prop.prev10             0.2769   0.3965   0.1196           0.0957   0.6142  1.2500         
ave.log.duration.prev10         2.4662   2.5386   0.0724           0.2309   0.1099  0.3133         
ave.outcome.prev10              0.1969   0.2410   0.0441           0.0590   0.2367  0.7479         
---Overall Test---
      chisquare df p.value
strat      8.02  6   0.236
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     32 
$p.values
ForceUS     NPC 
  0.186   0.186 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.23809524 38.91208791  0.08699634 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2894522 51.6078588  0.2210706 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 16.190476   1.681437   5.837912 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.151092   1.090250   1.378727 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs TRUE ***


Tue Apr 21 16:06:00 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.317738e-02  1.010139e-01  1.010874e-01  1.141884e-01  1.490070e-01  1.490070e-01  1.520944e-01  2.595109e-01  3.127625e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.243951e-01  4.026159e-01  4.192428e-01  4.192428e-01  4.380789e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.937387e-01  5.091675e-01  5.706690e-01  5.706690e-01  5.999505e-01  7.314798e-01  7.474246e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.633976e-02  8.016575e-02  8.161144e-02  8.427435e-02  9.675032e-02  1.320697e-01  1.490070e-01  1.490070e-01  1.554258e-01  2.311817e-01  2.537392e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.844217e-01  5.706690e-01  5.706690e-01  6.449086e-01  6.968941e-01  7.105302e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.670766e-01  9.608314e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.633976e-02  8.016575e-02  8.161144e-02  8.427435e-02  9.675032e-02  1.320697e-01  1.490070e-01  1.490070e-01  1.554258e-01  2.311817e-01  2.537392e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.844217e-01  5.706690e-01  5.706690e-01  6.449086e-01  6.968941e-01  7.105302e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.670766e-01  9.608314e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.959494e+02
 X[ 2] :	9.749981e+02
 X[ 3] :	2.622984e+02
 X[ 4] :	1.756575e+02
 X[ 5] :	1.171037e+02
 X[ 6] :	4.964537e+02
 X[ 7] :	2.470160e+02
 X[ 8] :	4.887626e+02
 X[ 9] :	5.939314e+01
 X[10] :	1.903256e+01
 X[11] :	1.459880e+02
 X[12] :	6.849116e+02
 X[13] :	3.158024e+02
 X[14] :	2.116267e+01
 X[15] :	9.905206e+02
 X[16] :	7.369644e+02
 X[17] :	5.686118e+01
 X[18] :	1.038711e+02
 X[19] :	2.839403e+01
 X[20] :	2.234760e+02
 X[21] :	4.727349e+02
 X[22] :	5.411811e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 16:26:11 2015
Total run time : 0 hours 20 minutes and 11 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7        Truman         6          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1917.7 
std mean diff.........    -23.611 	 	    -29.227 

mean raw eQQ diff.....     25.545 	 	     28.182 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         56 

mean eCDF diff........    0.15758 	 	    0.14354 
med  eCDF diff........    0.12879 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.6172 
T-test p-value........    0.48649 	 	   0.081611 
KS Bootstrap p-value..       0.08 	 	      0.402 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.57067 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.6843 
std mean diff.........   -0.23177 	 	     17.078 

mean raw eQQ diff.....    0.14681 	 	    0.26006 
med  raw eQQ diff.....    0.09531 	 	    0.22314 
max  raw eQQ diff.....    0.40547 	 	     1.0986 

mean eCDF diff........   0.054293 	 	   0.083916 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.27273 

var ratio (Tr/Co).....     1.1956 	 	    0.99619 
T-test p-value........    0.99486 	 	    0.69689 
KS Bootstrap p-value..      0.954 	 	      0.695 
KS Naive p-value......    0.99842 	 	    0.80792 
KS Statistic..........    0.14015 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     7.9091 
std mean diff.........   -0.92162 	 	    -2.6022 

mean raw eQQ diff.....     1.3636 	 	     1.8182 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.084416 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.4842 
T-test p-value........    0.97906 	 	    0.86708 
KS Bootstrap p-value..      0.571 	 	      0.717 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.5979 
std mean diff.........     21.666 	 	     2.1839 

mean raw eQQ diff.....     1.3707 	 	    0.94083 
med  raw eQQ diff.....     1.0732 	 	    0.53114 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.11189 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.28788 	 	    0.27273 

var ratio (Tr/Co).....     0.9519 	 	    0.58385 
T-test p-value........    0.56157 	 	    0.96083 
KS Bootstrap p-value..      0.346 	 	      0.637 
KS Naive p-value......    0.55945 	 	    0.80792 
KS Statistic..........    0.28788 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.37229 
std mean diff.........     95.056 	 	     55.056 

mean raw eQQ diff.....    0.34315 	 	    0.20169 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.13223 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.2631 
T-test p-value........   0.012043 	 	    0.09675 
KS Bootstrap p-value..      0.031 	 	      0.339 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.4019 
std mean diff.........    -102.09 	 	    -81.858 

mean raw eQQ diff.....    0.95999 	 	    0.87591 
med  raw eQQ diff.....    0.60897 	 	    0.59918 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.20668 	 	    0.18182 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	     1.1983 
T-test p-value........   0.016439 	 	   0.084274 
KS Bootstrap p-value..      0.196 	 	      0.735 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22208 
std mean diff.........     33.929 	 	     20.202 

mean raw eQQ diff.....    0.13931 	 	    0.09313 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........   0.076156 	 	   0.060606 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     1.9992 
T-test p-value........     0.3088 	 	    0.48442 
KS Bootstrap p-value..      0.523 	 	      0.945 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.30953 
std mean diff.........     47.436 	 	      38.27 

mean raw eQQ diff.....    0.13724 	 	   0.086975 
med  raw eQQ diff.....    0.12857 	 	   0.055556 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.10227 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     2.2614 
T-test p-value........    0.19269 	 	   0.080166 
KS Bootstrap p-value..      0.027 	 	      0.726 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6349 
std mean diff.........    -63.836 	 	    -18.222 

mean raw eQQ diff.....    0.69778 	 	    0.31206 
med  raw eQQ diff.....    0.50644 	 	   0.097013 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.16162 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.55372 
T-test p-value........    0.21801 	 	    0.64491 
KS Bootstrap p-value..      0.189 	 	      0.379 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18887 
std mean diff.........     27.172 	 	     25.886 

mean raw eQQ diff.....   0.066915 	 	   0.067278 
med  raw eQQ diff.....   0.071429 	 	   0.071429 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1039 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2658 
T-test p-value........    0.44287 	 	    0.15543 
KS Bootstrap p-value..      0.616 	 	      0.717 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	    0.27273 
std mean diff.........    -25.126 	 	    -60.302 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.037879 	 	   0.090909 
med  eCDF diff........   0.037879 	 	   0.090909 
max  eCDF diff........   0.075758 	 	    0.18182 

var ratio (Tr/Co).....    0.62727 	 	    0.41667 
T-test p-value........    0.53236 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -3.6462 
std mean diff.........    -69.824 	 	     -24.25 

mean raw eQQ diff.....     1.6689 	 	     1.0458 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     2.2851 

mean eCDF diff........    0.18826 	 	        0.1 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     1.3415 
T-test p-value........   0.059093 	 	    0.13207 
KS Bootstrap p-value..      0.014 	 	      0.278 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     32.187 
std mean diff.........    -27.864 	 	     4.0446 

mean raw eQQ diff.....     5.5822 	 	     2.8164 
med  raw eQQ diff.....     4.5455 	 	     2.2143 
max  raw eQQ diff.....     17.833 	 	     7.0714 

mean eCDF diff........   0.084044 	 	   0.073864 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.18182 

var ratio (Tr/Co).....    0.92792 	 	     1.2777 
T-test p-value........    0.45834 	 	    0.71053 
KS Bootstrap p-value..      0.462 	 	      0.973 
KS Naive p-value......    0.61132 	 	    0.99336 
KS Statistic..........    0.27652 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.27273 
std mean diff.........     31.189 	 	     34.816 

mean raw eQQ diff.....    0.18182 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.090909 
med  eCDF diff........   0.081439 	 	   0.090909 
max  eCDF diff........    0.16288 	 	    0.18182 

var ratio (Tr/Co).....     1.2651 	 	       1.25 
T-test p-value........    0.38746 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     15.364 
std mean diff.........     9.1048 	 	     14.926 

mean raw eQQ diff.....     4.4545 	 	     3.9091 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         12 	 	         17 

mean eCDF diff........   0.086605 	 	     0.1039 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.4083 	 	     1.4098 
T-test p-value........    0.79629 	 	    0.25374 
KS Bootstrap p-value..      0.823 	 	      0.688 
KS Naive p-value......    0.96436 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.81818 
std mean diff.........     119.86 	 	          0 

mean raw eQQ diff.....    0.45455 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.24242 	 	          0 
med  eCDF diff........    0.24242 	 	          0 
max  eCDF diff........    0.48485 	 	          0 

var ratio (Tr/Co).....    0.70568 	 	          1 
T-test p-value........  0.0051069 	 	          1 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........     0.3334 	 	    0.33433 
std mean diff.........     29.696 	 	     29.583 

mean raw eQQ diff.....    0.26746 	 	    0.27823 
med  raw eQQ diff.....    0.10513 	 	    0.09639 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.096354 	 	    0.11616 
med  eCDF diff........   0.092803 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.36364 

var ratio (Tr/Co).....     14.144 	 	      15.95 
T-test p-value........    0.35387 	 	    0.23118 
KS Bootstrap p-value..      0.623 	 	      0.396 
KS Naive p-value......    0.78361 	 	    0.46107 
KS Statistic..........    0.23864 	 	    0.36364 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........     0.5625 	 	    0.81818 
std mean diff.........     28.371 	 	    -46.729 

mean raw eQQ diff.....    0.11364 	 	    0.15909 
med  raw eQQ diff.....          0 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.081818 	 	    0.12727 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.15909 	 	    0.27273 

var ratio (Tr/Co).....    0.68247 	 	     1.5224 
T-test p-value........    0.47397 	 	    0.07634 
KS Bootstrap p-value..      0.707 	 	      0.443 
KS Naive p-value......    0.99104 	 	    0.80792 
KS Statistic..........    0.15909 	 	    0.27273 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.07634 
Variable Name(s): unified  Number(s): 22 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.37229 
std mean diff.........     95.056 	 	     55.056 

mean raw eQQ diff.....    0.34315 	 	    0.20169 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.13223 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.2631 
T-test p-value........   0.012043 	 	    0.09675 
KS Bootstrap p-value..      0.031 	 	      0.351 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.4019 
std mean diff.........    -102.09 	 	    -81.858 

mean raw eQQ diff.....    0.95999 	 	    0.87591 
med  raw eQQ diff.....    0.60897 	 	    0.59918 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.20668 	 	    0.18182 
med  eCDF diff........    0.21023 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	     1.1983 
T-test p-value........   0.016439 	 	   0.084274 
KS Bootstrap p-value..      0.179 	 	      0.722 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22208 
std mean diff.........     33.929 	 	     20.202 

mean raw eQQ diff.....    0.13931 	 	    0.09313 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........   0.076156 	 	   0.060606 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     1.9992 
T-test p-value........     0.3088 	 	    0.48442 
KS Bootstrap p-value..      0.554 	 	      0.944 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.30953 
std mean diff.........     47.436 	 	      38.27 

mean raw eQQ diff.....    0.13724 	 	   0.086975 
med  raw eQQ diff.....    0.12857 	 	   0.055556 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19792 	 	    0.10227 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     2.2614 
T-test p-value........    0.19269 	 	   0.080166 
KS Bootstrap p-value..      0.026 	 	      0.711 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6349 
std mean diff.........    -63.836 	 	    -18.222 

mean raw eQQ diff.....    0.69778 	 	    0.31206 
med  raw eQQ diff.....    0.50644 	 	   0.097013 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.16162 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.24893 	 	    0.55372 
T-test p-value........    0.21801 	 	    0.64491 
KS Bootstrap p-value..      0.188 	 	       0.39 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18887 
std mean diff.........     27.172 	 	     25.886 

mean raw eQQ diff.....   0.066915 	 	   0.067278 
med  raw eQQ diff.....   0.071429 	 	   0.071429 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1039 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2658 
T-test p-value........    0.44287 	 	    0.15543 
KS Bootstrap p-value..      0.646 	 	      0.701 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.080166 
Variable Name(s): ForceUS.prop.prev10  Number(s): 4 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3723   0.5740   0.2017           0.1257   0.6484  1.6041         
ave.log.duration.prev5          2.4019   1.5259   -0.8759          0.5278   -0.8547 -1.6595 .      
ave.outcome.prev5               0.2221   0.3027   0.0806           0.1137   0.2333  0.7093         
ForceUS.prop.prev10             0.3095   0.3965   0.0870           0.0518   0.4507  1.6790  .      
ave.log.duration.prev10         2.6349   2.5386   -0.0963          0.2048   -0.1538 -0.4703        
ave.outcome.prev10              0.1889   0.2410   0.0521           0.0374   0.2736  1.3942         
---Overall Test---
      chisquare df p.value
strat      9.32  6   0.157
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     29 
$p.values
ForceUS     NPC 
  0.386   0.386 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.30627706 28.13376623  0.05692641 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3401016 36.4539627  0.1972611 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 21.286255   1.308141   3.685606 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.635424   0.571583   1.150404 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs FALSE ***


Tue Apr 21 16:47:21 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.216398e-02  4.970127e-02  5.829493e-02  7.580170e-02  8.579566e-02  1.490070e-01  1.490070e-01  1.730998e-01  1.730998e-01  1.968103e-01  2.230982e-01  2.375705e-01  2.452459e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.083191e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.858069e-01  5.706690e-01  5.706690e-01  5.828512e-01  6.784353e-01  7.096328e-01  7.354637e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.788707e-01  9.918589e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.250851e-02  4.884393e-02  1.062086e-01  1.269931e-01  1.404809e-01  1.490070e-01  1.490070e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.184203e-01  2.497895e-01  2.843327e-01  3.189527e-01  3.189527e-01  3.208986e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.603994e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.735024e-01  7.424132e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.467107e-01  8.535488e-01  8.788707e-01  9.260257e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.250851e-02  4.884393e-02  1.062086e-01  1.269931e-01  1.404809e-01  1.490070e-01  1.490070e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.184203e-01  2.497895e-01  2.843327e-01  3.189527e-01  3.189527e-01  3.208986e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.603994e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.735024e-01  7.424132e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.467107e-01  8.535488e-01  8.788707e-01  9.260257e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.472713e+02
 X[ 2] :	5.013202e+02
 X[ 3] :	2.802786e+02
 X[ 4] :	3.841594e+02
 X[ 5] :	8.636224e+02
 X[ 6] :	4.424434e+02
 X[ 7] :	1.716387e+02
 X[ 8] :	5.333950e+01
 X[ 9] :	3.792736e+02
 X[10] :	6.681572e+02
 X[11] :	6.363870e+02
 X[12] :	1.228419e+02
 X[13] :	8.129072e+01
 X[14] :	5.491396e+01
 X[15] :	2.181866e+02
 X[16] :	9.566242e+02
 X[17] :	7.434348e+02
 X[18] :	6.565904e+01
 X[19] :	4.647948e+02
 X[20] :	1.205477e+02
 X[21] :	9.014344e+02
 X[22] :	1.823438e+02
 X[23] :	8.392454e+02
 X[24] :	8.145522e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 17:11:06 2015
Total run time : 0 hours 23 minutes and 45 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Grant         7          6
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4      Coolidge         1          1
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Cleveland         9          6
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1920.9 
std mean diff.........    -23.611 	 	    -33.455 

mean raw eQQ diff.....     25.545 	 	     28.273 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         58 

mean eCDF diff........    0.15758 	 	    0.14463 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.8014 
T-test p-value........    0.48649 	 	   0.048844 
KS Bootstrap p-value..       0.08 	 	      0.418 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.9209 
std mean diff.........   -0.23177 	 	    -2.3716 

mean raw eQQ diff.....    0.14681 	 	    0.27551 
med  raw eQQ diff.....    0.09531 	 	    0.25131 
max  raw eQQ diff.....    0.40547 	 	    0.69315 

mean eCDF diff........   0.054293 	 	   0.090909 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.27273 

var ratio (Tr/Co).....     1.1956 	 	     1.5815 
T-test p-value........    0.99486 	 	    0.92603 
KS Bootstrap p-value..      0.954 	 	      0.708 
KS Naive p-value......    0.99842 	 	    0.80792 
KS Statistic..........    0.14015 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     8.1818 
std mean diff.........   -0.92162 	 	    -6.5056 

mean raw eQQ diff.....     1.3636 	 	     1.7273 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.084848 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.5084 
T-test p-value........    0.97906 	 	     0.6735 
KS Bootstrap p-value..      0.571 	 	      0.692 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.8565 
std mean diff.........     21.666 	 	    -8.4193 

mean raw eQQ diff.....     1.3707 	 	    0.75888 
med  raw eQQ diff.....     1.0732 	 	    0.42163 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	   0.078788 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.28788 	 	    0.18182 

var ratio (Tr/Co).....     0.9519 	 	    0.60421 
T-test p-value........    0.56157 	 	    0.84671 
KS Bootstrap p-value..      0.346 	 	      0.967 
KS Naive p-value......    0.55945 	 	    0.99336 
KS Statistic..........    0.28788 	 	    0.18182 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.29163 
std mean diff.........     95.056 	 	     77.074 

mean raw eQQ diff.....    0.34315 	 	    0.28235 
med  raw eQQ diff.....    0.28571 	 	       0.25 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.22727 
med  eCDF diff........     0.3447 	 	    0.22727 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.7552 
T-test p-value........   0.012043 	 	   0.042509 
KS Bootstrap p-value..      0.031 	 	      0.377 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2261 
std mean diff.........    -102.09 	 	    -65.432 

mean raw eQQ diff.....    0.95999 	 	    0.70015 
med  raw eQQ diff.....    0.60897 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.10909 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	     1.2312 
T-test p-value........   0.016439 	 	    0.14048 
KS Bootstrap p-value..      0.196 	 	      0.756 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22266 
std mean diff.........     33.929 	 	     20.056 

mean raw eQQ diff.....    0.13931 	 	   0.092435 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	   0.064935 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.0396 
T-test p-value........     0.3088 	 	    0.24979 
KS Bootstrap p-value..      0.523 	 	      0.956 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.33755 
std mean diff.........     47.436 	 	     25.941 

mean raw eQQ diff.....    0.13724 	 	   0.077138 
med  raw eQQ diff.....    0.12857 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19792 	 	   0.095694 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     1.5246 
T-test p-value........    0.19269 	 	     0.3209 
KS Bootstrap p-value..      0.027 	 	      0.765 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6641 
std mean diff.........    -63.836 	 	    -23.739 

mean raw eQQ diff.....    0.69778 	 	    0.51568 
med  raw eQQ diff.....    0.50644 	 	    0.31426 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.19913 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.24893 	 	    0.30952 
T-test p-value........    0.21801 	 	    0.74241 
KS Bootstrap p-value..      0.189 	 	      0.192 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18043 
std mean diff.........     27.172 	 	     30.075 

mean raw eQQ diff.....   0.066915 	 	   0.075713 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1123 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2242 
T-test p-value........    0.44287 	 	    0.21842 
KS Bootstrap p-value..      0.616 	 	      0.738 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	   0.090909 
std mean diff.........    -25.126 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.037879 	 	          0 
med  eCDF diff........   0.037879 	 	          0 
max  eCDF diff........   0.075758 	 	          0 

var ratio (Tr/Co).....    0.62727 	 	          1 
T-test p-value........    0.53236 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -2.9507 
std mean diff.........    -69.824 	 	    -50.277 

mean raw eQQ diff.....     1.6689 	 	     1.3434 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.18826 	 	    0.13131 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....     1.5145 	 	     1.4437 
T-test p-value........   0.059093 	 	    0.12699 
KS Bootstrap p-value..      0.014 	 	      0.291 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     38.113 
std mean diff.........    -27.864 	 	    -27.688 

mean raw eQQ diff.....     5.5822 	 	     5.8954 
med  raw eQQ diff.....     4.5455 	 	     5.2045 
max  raw eQQ diff.....     17.833 	 	         19 

mean eCDF diff........   0.084044 	 	   0.076555 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.18182 

var ratio (Tr/Co).....    0.92792 	 	    0.78142 
T-test p-value........    0.45834 	 	    0.10621 
KS Bootstrap p-value..      0.462 	 	      0.975 
KS Naive p-value......    0.61132 	 	    0.99336 
KS Statistic..........    0.27652 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.36364 
std mean diff.........     31.189 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.045455 
med  eCDF diff........   0.081439 	 	   0.045455 
max  eCDF diff........    0.16288 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.38746 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     17.182 
std mean diff.........     9.1048 	 	     2.9852 

mean raw eQQ diff.....     4.4545 	 	     3.3636 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         12 	 	          6 

mean eCDF diff........   0.086605 	 	   0.085859 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	     1.6854 
T-test p-value........    0.79629 	 	    0.85355 
KS Bootstrap p-value..      0.823 	 	       0.97 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.54545 
std mean diff.........     119.86 	 	      67.42 

mean raw eQQ diff.....    0.45455 	 	    0.27273 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.24242 	 	    0.13636 
med  eCDF diff........    0.24242 	 	    0.13636 
max  eCDF diff........    0.48485 	 	    0.27273 

var ratio (Tr/Co).....    0.70568 	 	        0.6 
T-test p-value........  0.0051069 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........     0.3334 	 	    0.34332 
std mean diff.........     29.696 	 	     28.486 

mean raw eQQ diff.....    0.26746 	 	    0.26645 
med  raw eQQ diff.....    0.10513 	 	   0.078296 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.096354 	 	   0.095238 
med  eCDF diff........   0.092803 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.27273 

var ratio (Tr/Co).....     14.144 	 	     14.253 
T-test p-value........    0.35387 	 	    0.28433 
KS Bootstrap p-value..      0.623 	 	       0.75 
KS Naive p-value......    0.78361 	 	    0.80792 
KS Statistic..........    0.23864 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........     0.5625 	 	    0.68182 
std mean diff.........     28.371 	 	    -6.6756 

mean raw eQQ diff.....    0.11364 	 	    0.11364 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.081818 	 	   0.090909 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.15909 	 	    0.18182 

var ratio (Tr/Co).....    0.68247 	 	    0.65806 
T-test p-value........    0.47397 	 	    0.87887 
KS Bootstrap p-value..      0.707 	 	       0.84 
KS Naive p-value......    0.99104 	 	    0.99336 
KS Statistic..........    0.15909 	 	    0.18182 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.29167 	 	    0.45455 
std mean diff.........     48.597 	 	     17.408 

mean raw eQQ diff.....    0.27273 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.12689 	 	   0.045455 
med  eCDF diff........    0.12689 	 	   0.045455 
max  eCDF diff........    0.25379 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	          1 
T-test p-value........    0.18463 	 	    0.57067 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     10.273 	 	     10.273 
mean control..........     7.5417 	 	     8.7273 
std mean diff.........     29.378 	 	     16.625 

mean raw eQQ diff.....     4.6364 	 	     4.4545 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....         14 	 	         14 

mean eCDF diff........      0.116 	 	    0.10606 
med  eCDF diff........   0.098485 	 	   0.090909 
max  eCDF diff........     0.2803 	 	    0.27273 

var ratio (Tr/Co).....     1.4615 	 	     1.1868 
T-test p-value........    0.40738 	 	     0.5604 
KS Bootstrap p-value..      0.345 	 	      0.672 
KS Naive p-value......    0.59391 	 	    0.80792 
KS Statistic..........     0.2803 	 	    0.27273 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.042509 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.29163 
std mean diff.........     95.056 	 	     77.074 

mean raw eQQ diff.....    0.34315 	 	    0.28235 
med  raw eQQ diff.....    0.28571 	 	       0.25 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33044 	 	    0.22727 
med  eCDF diff........     0.3447 	 	    0.22727 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.7552 
T-test p-value........   0.012043 	 	   0.042509 
KS Bootstrap p-value..      0.031 	 	      0.383 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	     2.2261 
std mean diff.........    -102.09 	 	    -65.432 

mean raw eQQ diff.....    0.95999 	 	    0.70015 
med  raw eQQ diff.....    0.60897 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.20668 	 	    0.10909 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	     1.2312 
T-test p-value........   0.016439 	 	    0.14048 
KS Bootstrap p-value..      0.179 	 	      0.762 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.22266 
std mean diff.........     33.929 	 	     20.056 

mean raw eQQ diff.....    0.13931 	 	   0.092435 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........   0.076156 	 	   0.064935 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.6457 	 	     2.0396 
T-test p-value........     0.3088 	 	    0.24979 
KS Bootstrap p-value..      0.554 	 	      0.959 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.33755 
std mean diff.........     47.436 	 	     25.941 

mean raw eQQ diff.....    0.13724 	 	   0.077138 
med  raw eQQ diff.....    0.12857 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19792 	 	   0.095694 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.322 	 	     1.5246 
T-test p-value........    0.19269 	 	     0.3209 
KS Bootstrap p-value..      0.026 	 	      0.719 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.6641 
std mean diff.........    -63.836 	 	    -23.739 

mean raw eQQ diff.....    0.69778 	 	    0.51568 
med  raw eQQ diff.....    0.50644 	 	    0.31426 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16867 	 	    0.19913 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.24893 	 	    0.30952 
T-test p-value........    0.21801 	 	    0.74241 
KS Bootstrap p-value..      0.188 	 	      0.181 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18043 
std mean diff.........     27.172 	 	     30.075 

mean raw eQQ diff.....   0.066915 	 	   0.075713 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........   0.098304 	 	     0.1123 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4598 	 	     1.2242 
T-test p-value........    0.44287 	 	    0.21842 
KS Bootstrap p-value..      0.646 	 	      0.736 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.042509 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2916   0.5740   0.2823           0.1484   0.9337  1.9031  .      
ave.log.duration.prev5          2.2261   1.5259   -0.7001          0.4856   -0.6874 -1.4417        
ave.outcome.prev5               0.2227   0.3027   0.0800           0.0698   0.2323  1.1465         
ForceUS.prop.prev10             0.3375   0.3965   0.0590           0.0592   0.2851  0.9962         
ave.log.duration.prev10         2.6641   2.5386   -0.1255          0.3732   -0.1632 -0.3362        
ave.outcome.prev10              0.1804   0.2410   0.0606           0.0496   0.3155  1.2210         
---Overall Test---
      chisquare df p.value
strat      7.31  6   0.293
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     13 
$p.values
ForceUS     NPC 
  0.538   0.538 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22048960 37.36116700  0.07562039 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2083916 35.5555861  0.1225857 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 17.087944   1.461138   5.873575 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.0768356  0.9844907  1.0416779 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs TRUE ***


Tue Apr 21 17:33:05 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.389371e-02  3.446176e-02  5.409037e-02  6.585032e-02  7.421731e-02  7.580170e-02  8.295660e-02  2.008470e-01  2.058362e-01  2.630906e-01  2.775650e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.375087e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.959926e-01  6.416633e-01  6.523116e-01  7.724081e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.213620e-01  8.788707e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.198689e-02  4.371899e-02  6.077880e-02  6.395347e-02  7.580170e-02  1.156588e-01  1.665508e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.332900e-01  3.627951e-01  4.192428e-01  4.610718e-01  4.610718e-01  5.091340e-01  5.706690e-01  5.706690e-01  5.998333e-01  6.239900e-01  6.416633e-01  6.613776e-01  6.961678e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.538468e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.397434e-02  4.527566e-02  5.349319e-02  6.968693e-02  6.968693e-02  1.730998e-01  1.730998e-01  1.941663e-01  2.058362e-01  2.654926e-01  2.719305e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.131890e-01  4.238623e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.241700e-01  5.338936e-01  5.808164e-01  7.400464e-01  7.633727e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.640691e-01  9.587717e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	4.527566e-02  4.666080e-02  7.580170e-02  9.654191e-02  1.003451e-01  1.379125e-01  1.490070e-01  1.490070e-01  1.946480e-01  2.001716e-01  2.474401e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.343437e-01  4.460135e-01  4.610718e-01  4.610718e-01  5.266322e-01  5.534062e-01  5.706690e-01  5.706690e-01  6.782605e-01  6.920538e-01  8.051129e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	4.527566e-02  5.086326e-02  6.474248e-02  6.968693e-02  6.968693e-02  7.085965e-02  7.580170e-02  2.429437e-01  2.617102e-01  3.097184e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.985434e-01  4.279128e-01  4.430131e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.430791e-01  5.514086e-01  5.660906e-01  6.750850e-01  7.232038e-01  7.668082e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      9 	5.452029e-02  5.617962e-02  6.968693e-02  6.968693e-02  7.305677e-02  7.580170e-02  8.136423e-02  1.490070e-01  1.490070e-01  2.410052e-01  2.666705e-01  3.098326e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.801272e-01  4.135833e-01  4.199320e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  6.452933e-01  7.724376e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.357030e-01  9.256693e-01  9.279633e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.452029e-02  5.617962e-02  6.968693e-02  6.968693e-02  7.305677e-02  7.580170e-02  8.136423e-02  1.490070e-01  1.490070e-01  2.410052e-01  2.666705e-01  3.098326e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.801272e-01  4.135833e-01  4.199320e-01  4.279128e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  6.452933e-01  7.724376e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.357030e-01  9.256693e-01  9.279633e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	2.044284e+02
 X[ 2] :	5.970803e+02
 X[ 3] :	3.120628e+02
 X[ 4] :	3.154589e+02
 X[ 5] :	9.013558e+02
 X[ 6] :	1.033848e+02
 X[ 7] :	2.429194e+02
 X[ 8] :	8.708141e+02
 X[ 9] :	6.884708e+02
 X[10] :	5.009175e+01
 X[11] :	1.004450e+02
 X[12] :	2.276354e+02
 X[13] :	7.806025e+01
 X[14] :	1.071551e+02
 X[15] :	2.502375e+02
 X[16] :	6.431899e+02
 X[17] :	7.394837e+02
 X[18] :	1.204235e+02
 X[19] :	2.209408e+02
 X[20] :	1.175670e+01
 X[21] :	2.329740e+02
 X[22] :	1.498804e+02
 X[23] :	6.842949e+02
 X[24] :	5.148672e+02

Solution Found Generation 9
Number of Generations Run 20

Tue Apr 21 18:08:04 2015
Total run time : 0 hours 34 minutes and 59 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Obama         4          3
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Coolidge         1          1
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.72727 
std mean diff.........    -24.661 	 	    -52.223 

mean raw eQQ diff.....   0.090909 	 	    0.27273 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	    0.13636 
med  eCDF diff........   0.064394 	 	    0.13636 
max  eCDF diff........    0.12879 	 	    0.27273 

var ratio (Tr/Co).....     1.0753 	 	       1.25 
T-test p-value........    0.50176 	 	   0.069687 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.45455 
std mean diff.........     6.0062 	 	    -18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	    0.93333 
T-test p-value........    0.86892 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1913.5 	 	     1933.3 
std mean diff.........    -23.611 	 	     -49.88 

mean raw eQQ diff.....     25.545 	 	     37.545 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         88 

mean eCDF diff........    0.15758 	 	    0.15311 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     2.2792 	 	     1.4547 
T-test p-value........    0.48649 	 	   0.073057 
KS Bootstrap p-value..       0.08 	 	      0.402 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.54545 
std mean diff.........    -27.028 	 	    -36.037 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.090909 
med  eCDF diff........   0.068182 	 	   0.090909 
max  eCDF diff........    0.13636 	 	    0.18182 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.14901 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.8949 	 	     1.8459 
std mean diff.........   -0.23177 	 	     3.7958 

mean raw eQQ diff.....    0.14681 	 	    0.18394 
med  raw eQQ diff.....    0.09531 	 	    0.18232 
max  raw eQQ diff.....    0.40547 	 	    0.51083 

mean eCDF diff........   0.054293 	 	   0.068182 
med  eCDF diff........   0.049242 	 	   0.090909 
max  eCDF diff........    0.14015 	 	    0.18182 

var ratio (Tr/Co).....     1.1956 	 	     1.0969 
T-test p-value........    0.99486 	 	     0.8357 
KS Bootstrap p-value..      0.954 	 	      0.958 
KS Naive p-value......    0.99842 	 	    0.99336 
KS Statistic..........    0.14015 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.7917 	 	     8.4545 
std mean diff.........   -0.92162 	 	    -10.409 

mean raw eQQ diff.....     1.3636 	 	          2 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.066919 	 	   0.090909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4507 	 	     1.2623 
T-test p-value........    0.97906 	 	    0.64529 
KS Bootstrap p-value..      0.571 	 	      0.716 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.1227 	 	     5.7273 
std mean diff.........     21.666 	 	    -3.1228 

mean raw eQQ diff.....     1.3707 	 	     1.5576 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10795 	 	    0.12587 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.28788 	 	    0.27273 

var ratio (Tr/Co).....     0.9519 	 	    0.40903 
T-test p-value........    0.56157 	 	    0.92796 
KS Bootstrap p-value..      0.346 	 	      0.656 
KS Naive p-value......    0.55945 	 	    0.80792 
KS Statistic..........    0.28788 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.36414 
std mean diff.........     95.056 	 	     57.281 

mean raw eQQ diff.....    0.34315 	 	    0.20984 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.12987 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.5668 
T-test p-value........   0.012043 	 	    0.05618 
KS Bootstrap p-value..      0.031 	 	      0.367 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	      2.326 
std mean diff.........    -102.09 	 	    -74.766 

mean raw eQQ diff.....    0.95999 	 	    0.80245 
med  raw eQQ diff.....    0.60897 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.7455 

mean eCDF diff........    0.20668 	 	     0.1016 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	    0.94348 
T-test p-value........   0.016439 	 	    0.05452 
KS Bootstrap p-value..      0.196 	 	       0.73 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.16855 
std mean diff.........     33.929 	 	     33.616 

mean raw eQQ diff.....    0.13931 	 	    0.13415 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	   0.098485 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	     3.1543 
T-test p-value........     0.3088 	 	    0.26667 
KS Bootstrap p-value..      0.523 	 	      0.643 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.40295 
std mean diff.........     47.436 	 	    -2.8373 

mean raw eQQ diff.....    0.13724 	 	   0.076806 
med  raw eQQ diff.....    0.12857 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19792 	 	   0.080214 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.18182 

var ratio (Tr/Co).....      1.322 	 	     1.6772 
T-test p-value........    0.19269 	 	    0.92567 
KS Bootstrap p-value..      0.027 	 	      0.986 
KS Naive p-value......   0.051567 	 	    0.99336 
KS Statistic..........    0.49242 	 	    0.18182 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.7966 
std mean diff.........    -63.836 	 	    -48.812 

mean raw eQQ diff.....    0.69778 	 	    0.63989 
med  raw eQQ diff.....    0.50644 	 	    0.55663 
max  raw eQQ diff.....     1.8581 	 	     1.4787 

mean eCDF diff........    0.16867 	 	    0.21717 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.24893 	 	    0.23934 
T-test p-value........    0.21801 	 	    0.41993 
KS Bootstrap p-value..      0.189 	 	      0.068 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18624 
std mean diff.........     27.172 	 	     27.191 

mean raw eQQ diff.....   0.066915 	 	   0.097193 
med  raw eQQ diff.....   0.071429 	 	   0.094697 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........   0.098304 	 	    0.13333 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.1398 
T-test p-value........    0.44287 	 	    0.38013 
KS Bootstrap p-value..      0.616 	 	      0.429 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.16667 	 	    0.18182 
std mean diff.........    -25.126 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.037879 	 	   0.045455 
med  eCDF diff........   0.037879 	 	   0.045455 
max  eCDF diff........   0.075758 	 	   0.090909 

var ratio (Tr/Co).....    0.62727 	 	    0.55556 
T-test p-value........    0.53236 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4285 	 	    -3.3375 
std mean diff.........    -69.824 	 	    -35.801 

mean raw eQQ diff.....     1.6689 	 	    0.95659 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.18826 	 	   0.079545 
med  eCDF diff........     0.1572 	 	   0.045455 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....     1.5145 	 	     1.7732 
T-test p-value........   0.059093 	 	    0.24101 
KS Bootstrap p-value..      0.014 	 	      0.584 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     38.146 	 	     38.744 
std mean diff.........    -27.864 	 	    -31.066 

mean raw eQQ diff.....     5.5822 	 	      7.773 
med  raw eQQ diff.....     4.5455 	 	     5.7922 
max  raw eQQ diff.....     17.833 	 	         19 

mean eCDF diff........   0.084044 	 	   0.096591 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.27652 	 	    0.18182 

var ratio (Tr/Co).....    0.92792 	 	     0.7771 
T-test p-value........    0.45834 	 	   0.081364 
KS Bootstrap p-value..      0.462 	 	      0.966 
KS Naive p-value......    0.61132 	 	    0.99336 
KS Statistic..........    0.27652 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.29167 	 	    0.54545 
std mean diff.........     31.189 	 	    -17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.081439 	 	   0.045455 
med  eCDF diff........   0.081439 	 	   0.045455 
max  eCDF diff........    0.16288 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	          1 
T-test p-value........    0.38746 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........      16.25 	 	     18.727 
std mean diff.........     9.1048 	 	    -7.1644 

mean raw eQQ diff.....     4.4545 	 	     3.6364 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.086605 	 	   0.085227 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4083 	 	     1.2531 
T-test p-value........    0.79629 	 	    0.77244 
KS Bootstrap p-value..      0.823 	 	      0.973 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.33333 	 	    0.63636 
std mean diff.........     119.86 	 	     44.947 

mean raw eQQ diff.....    0.45455 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.24242 	 	   0.090909 
med  eCDF diff........    0.24242 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.18182 

var ratio (Tr/Co).....    0.70568 	 	    0.64286 
T-test p-value........  0.0051069 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........     0.3334 	 	    0.31805 
std mean diff.........     29.696 	 	      31.57 

mean raw eQQ diff.....    0.26746 	 	    0.29757 
med  raw eQQ diff.....    0.10513 	 	   0.073221 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.096354 	 	    0.12121 
med  eCDF diff........   0.092803 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.27273 

var ratio (Tr/Co).....     14.144 	 	     10.129 
T-test p-value........    0.35387 	 	    0.30983 
KS Bootstrap p-value..      0.623 	 	      0.715 
KS Naive p-value......    0.78361 	 	    0.80792 
KS Statistic..........    0.23864 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........     0.5625 	 	    0.79545 
std mean diff.........     28.371 	 	    -40.053 

mean raw eQQ diff.....    0.11364 	 	    0.18182 
med  raw eQQ diff.....          0 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.081818 	 	    0.14545 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.15909 	 	    0.36364 

var ratio (Tr/Co).....    0.68247 	 	     0.7234 
T-test p-value........    0.47397 	 	    0.42791 
KS Bootstrap p-value..      0.707 	 	      0.245 
KS Naive p-value......    0.99104 	 	    0.46107 
KS Statistic..........    0.15909 	 	    0.36364 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.29167 	 	    0.63636 
std mean diff.........     48.597 	 	    -17.408 

mean raw eQQ diff.....    0.27273 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.12689 	 	   0.045455 
med  eCDF diff........    0.12689 	 	   0.045455 
max  eCDF diff........    0.25379 	 	   0.090909 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.18463 	 	    0.31895 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     10.273 	 	     10.273 
mean control..........     7.5417 	 	     8.1818 
std mean diff.........     29.378 	 	     22.492 

mean raw eQQ diff.....     4.6364 	 	     4.6364 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....         14 	 	         14 

mean eCDF diff........      0.116 	 	    0.11364 
med  eCDF diff........   0.098485 	 	   0.090909 
max  eCDF diff........     0.2803 	 	    0.27273 

var ratio (Tr/Co).....     1.4615 	 	     1.1317 
T-test p-value........    0.40738 	 	    0.41358 
KS Bootstrap p-value..      0.345 	 	       0.65 
KS Naive p-value......    0.59391 	 	    0.80792 
KS Statistic..........     0.2803 	 	    0.27273 


Before Matching Minimum p.value: 0.0051069 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.05452 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........    0.22576 	 	    0.36414 
std mean diff.........     95.056 	 	     57.281 

mean raw eQQ diff.....    0.34315 	 	    0.20984 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33044 	 	    0.12987 
med  eCDF diff........     0.3447 	 	   0.090909 
max  eCDF diff........    0.48485 	 	    0.36364 

var ratio (Tr/Co).....     2.2983 	 	     2.5668 
T-test p-value........   0.012043 	 	    0.05618 
KS Bootstrap p-value..      0.031 	 	      0.348 
KS Naive p-value......    0.05766 	 	    0.46107 
KS Statistic..........    0.48485 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.6184 	 	      2.326 
std mean diff.........    -102.09 	 	    -74.766 

mean raw eQQ diff.....    0.95999 	 	    0.80245 
med  raw eQQ diff.....    0.60897 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.7455 

mean eCDF diff........    0.20668 	 	     0.1016 
med  eCDF diff........    0.21023 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.63202 	 	    0.94348 
T-test p-value........   0.016439 	 	    0.05452 
KS Bootstrap p-value..      0.179 	 	      0.739 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1673 	 	    0.16855 
std mean diff.........     33.929 	 	     33.616 

mean raw eQQ diff.....    0.13931 	 	    0.13415 
med  raw eQQ diff.....   0.031818 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........   0.076156 	 	   0.098485 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.6457 	 	     3.1543 
T-test p-value........     0.3088 	 	    0.26667 
KS Bootstrap p-value..      0.554 	 	      0.649 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........     0.2887 	 	    0.40295 
std mean diff.........     47.436 	 	    -2.8373 

mean raw eQQ diff.....    0.13724 	 	   0.076806 
med  raw eQQ diff.....    0.12857 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19792 	 	   0.080214 
med  eCDF diff........    0.20833 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.18182 

var ratio (Tr/Co).....      1.322 	 	     1.6772 
T-test p-value........    0.19269 	 	    0.92567 
KS Bootstrap p-value..      0.026 	 	       0.98 
KS Naive p-value......   0.051567 	 	    0.99336 
KS Statistic..........    0.49242 	 	    0.18182 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........      2.876 	 	     2.7966 
std mean diff.........    -63.836 	 	    -48.812 

mean raw eQQ diff.....    0.69778 	 	    0.63989 
med  raw eQQ diff.....    0.50644 	 	    0.55663 
max  raw eQQ diff.....     1.8581 	 	     1.4787 

mean eCDF diff........    0.16867 	 	    0.21717 
med  eCDF diff........    0.16288 	 	    0.18182 
max  eCDF diff........    0.35985 	 	    0.54545 

var ratio (Tr/Co).....    0.24893 	 	    0.23934 
T-test p-value........    0.21801 	 	    0.41993 
KS Bootstrap p-value..      0.188 	 	      0.063 
KS Naive p-value......    0.28279 	 	   0.075802 
KS Statistic..........    0.35985 	 	    0.54545 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........    0.18628 	 	    0.18624 
std mean diff.........     27.172 	 	     27.191 

mean raw eQQ diff.....   0.066915 	 	   0.097193 
med  raw eQQ diff.....   0.071429 	 	   0.094697 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........   0.098304 	 	    0.13333 
med  eCDF diff........   0.090909 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4598 	 	     1.1398 
T-test p-value........    0.44287 	 	    0.38013 
KS Bootstrap p-value..      0.646 	 	      0.397 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.012043 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.05452 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.36414  0.57398  0.20984          0.11596  0.68720  1.80956  .       
ave.log.duration.prev5         2.32597  1.52595  -0.80002         0.43958  -0.73671 -1.81997 .       
ave.outcome.prev5              0.16855  0.30270  0.13415          0.12099  0.41425  1.10874          
ForceUS.prop.prev10            0.40295  0.39650  -0.00645         0.06743  -0.03176 -0.09563         
ave.log.duration.prev10        2.79659  2.53860  -0.25799         0.31642  -0.30336 -0.81532         
ave.outcome.prev10             0.18624  0.24099  0.05475          0.06187  0.28065  0.88491          
---Overall Test---
      chisquare df p.value
strat      6.54  6   0.366
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     16 
$p.values
ForceUS     NPC 
   0.58    0.58 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19397759 27.26050420  0.09943978 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1903180 31.5473610  0.1501832 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 14.742297   1.481422   7.743697 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5579799  0.8888447  1.0611836 

Closed Testing
Intersection 1 of 7 

*** primary none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.2244306 66.7905121  0.0302239 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.010             0.035             0.359             0.056             0.044             0.359             0.008 

*** primary none FALSE harmonic ***

*** primary none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 33.215726   2.258146   5.052856 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.010             0.022             0.336             0.053             0.046             0.336             0.011 

*** primary none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 2.6721623  2.1055117  0.9182469 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.007             0.026             0.219             0.027             0.026             0.219             0.005 

*** primary none TRUE mean ***

*** primary none TRUE harmonic ***

*** primary none TRUE rank ***

*** primary none TRUE hlm ***

*** primary log.placebo FALSE ***


Tue Apr 21 18:54:33 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.580170e-02  9.303881e-02  1.018890e-01  3.057005e-01  6.469680e-01  7.711242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.624242e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.580170e-02  9.303881e-02  1.018890e-01  3.057005e-01  6.469680e-01  7.711242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.624242e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	5.469205e+02
 X[ 2] :	9.861848e+02
 X[ 3] :	6.151459e+02
 X[ 4] :	2.936949e+01
 X[ 5] :	5.569362e+00
 X[ 6] :	2.891807e+02

Solution Found Generation 1
Number of Generations Run 11

Tue Apr 21 19:02:19 2015
Total run time : 0 hours 7 minutes and 46 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6         Hoover         1          0
3      Jackson         4          4          Grant         7          6
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5       Coolidge         1          1
7       Wilson        15         13       Buchanan         6          5
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7         Truman         6          4
10     Clinton        24         10  Roosevelt, F.        10          8
11 Bush, G. W.        24         20           Ford         4          4

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42916 
std mean diff.........     82.298 	 	     39.532 

mean raw eQQ diff.....    0.29281 	 	    0.15348 
med  raw eQQ diff.....    0.28571 	 	   0.047619 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	     0.1039 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.9242 
T-test p-value........   0.027692 	 	    0.10189 
KS Bootstrap p-value..      0.055 	 	      0.703 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     1.9868 
std mean diff.........    -95.918 	 	    -43.065 

mean raw eQQ diff.....    0.94073 	 	    0.54122 
med  raw eQQ diff.....    0.59918 	 	    0.31574 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.18943 	 	    0.11818 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     5.8901 
T-test p-value........   0.020711 	 	   0.093039 
KS Bootstrap p-value..      0.281 	 	      0.752 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.23874 
std mean diff.........      25.91 	 	     16.026 

mean raw eQQ diff.....    0.11912 	 	    0.10763 
med  raw eQQ diff.....   0.029762 	 	   0.018797 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.067722 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.2771 
T-test p-value........    0.43589 	 	     0.3057 
KS Bootstrap p-value..      0.701 	 	      0.933 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.42507 
std mean diff.........     33.031 	 	    -12.569 

mean raw eQQ diff.....     0.1013 	 	    0.05359 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	    0.18421 

mean eCDF diff........    0.16361 	 	    0.08134 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.82167 
T-test p-value........    0.37519 	 	    0.77112 
KS Bootstrap p-value..      0.049 	 	      0.746 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4286 
std mean diff.........    -46.278 	 	      20.82 

mean raw eQQ diff.....    0.70566 	 	    0.42562 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.17473 	 	    0.19913 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.54545 

var ratio (Tr/Co).....     0.2436 	 	    0.42763 
T-test p-value........    0.36007 	 	    0.64697 
KS Bootstrap p-value..      0.104 	 	      0.062 
KS Naive p-value......     0.1789 	 	   0.075802 
KS Statistic..........     0.3951 	 	    0.54545 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.23899 
std mean diff.........     9.7302 	 	    0.99414 

mean raw eQQ diff.....   0.053602 	 	   0.060244 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.066434 	 	   0.074866 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.68399 
T-test p-value........    0.79027 	 	    0.96242 
KS Bootstrap p-value..      0.797 	 	      0.711 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.062 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42916 
std mean diff.........     82.298 	 	     39.532 

mean raw eQQ diff.....    0.29281 	 	    0.15348 
med  raw eQQ diff.....    0.28571 	 	   0.047619 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	     0.1039 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.9242 
T-test p-value........   0.027692 	 	    0.10189 
KS Bootstrap p-value..      0.059 	 	      0.701 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     1.9868 
std mean diff.........    -95.918 	 	    -43.065 

mean raw eQQ diff.....    0.94073 	 	    0.54122 
med  raw eQQ diff.....    0.59918 	 	    0.31574 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.18943 	 	    0.11818 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     5.8901 
T-test p-value........   0.020711 	 	   0.093039 
KS Bootstrap p-value..      0.274 	 	      0.748 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.23874 
std mean diff.........      25.91 	 	     16.026 

mean raw eQQ diff.....    0.11912 	 	    0.10763 
med  raw eQQ diff.....   0.029762 	 	   0.018797 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.067722 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.2771 
T-test p-value........    0.43589 	 	     0.3057 
KS Bootstrap p-value..      0.685 	 	      0.936 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.42507 
std mean diff.........     33.031 	 	    -12.569 

mean raw eQQ diff.....     0.1013 	 	    0.05359 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	    0.18421 

mean eCDF diff........    0.16361 	 	    0.08134 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.82167 
T-test p-value........    0.37519 	 	    0.77112 
KS Bootstrap p-value..      0.043 	 	      0.747 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4286 
std mean diff.........    -46.278 	 	      20.82 

mean raw eQQ diff.....    0.70566 	 	    0.42562 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.17473 	 	    0.19913 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.54545 

var ratio (Tr/Co).....     0.2436 	 	    0.42763 
T-test p-value........    0.36007 	 	    0.64697 
KS Bootstrap p-value..       0.11 	 	      0.063 
KS Naive p-value......     0.1789 	 	   0.075802 
KS Statistic..........     0.3951 	 	    0.54545 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.23899 
std mean diff.........     9.7302 	 	    0.99414 

mean raw eQQ diff.....   0.053602 	 	   0.060244 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.066434 	 	   0.074866 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.68399 
T-test p-value........    0.79027 	 	    0.96242 
KS Bootstrap p-value..      0.843 	 	      0.692 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.063 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.42916  0.57398  0.14482          0.09150  0.45351  1.58269          
ave.log.duration.prev5         1.98676  1.52595  -0.46081         0.28445  -0.56310 -1.62002         
ave.outcome.prev5              0.23874  0.30270  0.06395          0.06230  0.18892  1.02652          
ForceUS.prop.prev10            0.42507  0.39650  -0.02856         0.09595  -0.11938 -0.29771         
ave.log.duration.prev10        2.42856  2.53860  0.11004          0.23542  0.16115  0.46742          
ave.outcome.prev10             0.23899  0.24099  0.00200          0.04145  0.00896  0.04830          
---Overall Test---
      chisquare df p.value
strat      6.99  6   0.322
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     53 
$p.values
ForceUS     NPC 
  0.096   0.096 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.12005900 58.38805310  0.03377581 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07586252 51.28068674  0.06812607 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 10.385103   1.121292   3.240560 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.0393087  1.0587101  0.7794449 

Closed Testing
Intersection 1 of 7 

*** primary log.placebo TRUE ***


Tue Apr 21 19:25:52 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.551224e-02  7.583610e-02  9.756513e-02  2.058362e-01  2.801534e-01  4.610718e-01  4.610718e-01  4.616661e-01  8.079242e-01  8.079242e-01  9.675538e-01  1.000000e+00  

      1 	8.797245e-02  1.167261e-01  2.058362e-01  2.066000e-01  2.081007e-01  4.610718e-01  4.610718e-01  6.733560e-01  7.056236e-01  8.079242e-01  8.079242e-01  8.079242e-01  

      2 	1.151823e-01  1.493798e-01  1.962732e-01  2.058362e-01  2.066000e-01  4.610718e-01  4.610718e-01  5.817760e-01  8.043180e-01  8.079242e-01  8.079242e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.151823e-01  1.493798e-01  1.962732e-01  2.058362e-01  2.066000e-01  4.610718e-01  4.610718e-01  5.817760e-01  8.043180e-01  8.079242e-01  8.079242e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	3.219245e+02
 X[ 2] :	9.607297e+02
 X[ 3] :	6.547832e+02
 X[ 4] :	2.611198e+01
 X[ 5] :	1.069646e+01
 X[ 6] :	4.686241e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 21 19:35:00 2015
Total run time : 0 hours 9 minutes and 8 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5       Coolidge         1          1
7       Wilson        15         13       Buchanan         6          5
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7       McKinley         3          1
10     Clinton        24         10         Truman         6          4
11 Bush, G. W.        24         20          Nixon        12          9

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.50433 
std mean diff.........     82.298 	 	     19.014 

mean raw eQQ diff.....    0.29281 	 	   0.088701 
med  raw eQQ diff.....    0.28571 	 	   0.033333 
max  raw eQQ diff.....    0.66667 	 	    0.30303 

mean eCDF diff........    0.28438 	 	   0.082645 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.18182 

var ratio (Tr/Co).....      1.613 	 	     1.1105 
T-test p-value........   0.027692 	 	    0.14938 
KS Bootstrap p-value..      0.055 	 	      0.925 
KS Naive p-value......    0.10936 	 	    0.99336 
KS Statistic..........    0.43357 	 	    0.18182 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     1.8611 
std mean diff.........    -95.918 	 	    -31.321 

mean raw eQQ diff.....    0.94073 	 	    0.45033 
med  raw eQQ diff.....    0.59918 	 	      0.203 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.18943 	 	   0.090909 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     4.8965 
T-test p-value........   0.020711 	 	    0.11518 
KS Bootstrap p-value..      0.281 	 	      0.734 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	     0.2171 
std mean diff.........      25.91 	 	      21.45 

mean raw eQQ diff.....    0.11912 	 	    0.12928 
med  raw eQQ diff.....   0.029762 	 	   0.018797 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	    0.07438 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.9753 	 	     2.9661 
T-test p-value........    0.43589 	 	     0.2066 
KS Bootstrap p-value..      0.701 	 	      0.647 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.49605 
std mean diff.........     33.031 	 	    -43.802 

mean raw eQQ diff.....     0.1013 	 	    0.15231 
med  raw eQQ diff.....    0.10769 	 	   0.060714 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	    0.13068 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.40938 
T-test p-value........    0.37519 	 	    0.19627 
KS Bootstrap p-value..      0.049 	 	      0.382 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4049 
std mean diff.........    -46.278 	 	     25.294 

mean raw eQQ diff.....    0.70566 	 	    0.45109 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.13636 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.36468 
T-test p-value........    0.36007 	 	    0.58178 
KS Bootstrap p-value..      0.104 	 	      0.175 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25013 
std mean diff.........     9.7302 	 	    -4.5375 

mean raw eQQ diff.....   0.053602 	 	   0.089564 
med  raw eQQ diff.....   0.045455 	 	      0.075 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.15584 
med  eCDF diff........   0.052448 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	     0.4401 
T-test p-value........    0.79027 	 	    0.80432 
KS Bootstrap p-value..      0.797 	 	       0.37 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11518 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.50433 
std mean diff.........     82.298 	 	     19.014 

mean raw eQQ diff.....    0.29281 	 	   0.088701 
med  raw eQQ diff.....    0.28571 	 	   0.033333 
max  raw eQQ diff.....    0.66667 	 	    0.30303 

mean eCDF diff........    0.28438 	 	   0.082645 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.18182 

var ratio (Tr/Co).....      1.613 	 	     1.1105 
T-test p-value........   0.027692 	 	    0.14938 
KS Bootstrap p-value..      0.059 	 	       0.93 
KS Naive p-value......    0.10936 	 	    0.99336 
KS Statistic..........    0.43357 	 	    0.18182 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     1.8611 
std mean diff.........    -95.918 	 	    -31.321 

mean raw eQQ diff.....    0.94073 	 	    0.45033 
med  raw eQQ diff.....    0.59918 	 	      0.203 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.18943 	 	   0.090909 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     4.8965 
T-test p-value........   0.020711 	 	    0.11518 
KS Bootstrap p-value..      0.274 	 	      0.717 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	     0.2171 
std mean diff.........      25.91 	 	      21.45 

mean raw eQQ diff.....    0.11912 	 	    0.12928 
med  raw eQQ diff.....   0.029762 	 	   0.018797 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	    0.07438 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.9753 	 	     2.9661 
T-test p-value........    0.43589 	 	     0.2066 
KS Bootstrap p-value..      0.685 	 	      0.619 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.49605 
std mean diff.........     33.031 	 	    -43.802 

mean raw eQQ diff.....     0.1013 	 	    0.15231 
med  raw eQQ diff.....    0.10769 	 	   0.060714 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	    0.13068 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.40938 
T-test p-value........    0.37519 	 	    0.19627 
KS Bootstrap p-value..      0.043 	 	      0.373 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4049 
std mean diff.........    -46.278 	 	     25.294 

mean raw eQQ diff.....    0.70566 	 	    0.45109 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.13636 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.36468 
T-test p-value........    0.36007 	 	    0.58178 
KS Bootstrap p-value..       0.11 	 	      0.163 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25013 
std mean diff.........     9.7302 	 	    -4.5375 

mean raw eQQ diff.....   0.053602 	 	   0.089564 
med  raw eQQ diff.....   0.045455 	 	      0.075 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.15584 
med  eCDF diff........   0.052448 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	     0.4401 
T-test p-value........    0.79027 	 	    0.80432 
KS Bootstrap p-value..      0.843 	 	      0.367 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11518 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.50433  0.57398  0.06965          0.04929  0.19505  1.41303          
ave.log.duration.prev5         1.86110  1.52595  -0.33515         0.21897  -0.40364 -1.53060         
ave.outcome.prev5              0.21710  0.30270  0.08560          0.06843  0.26233  1.25084          
ForceUS.prop.prev10            0.49605  0.39650  -0.09955         0.07791  -0.33385 -1.27777         
ave.log.duration.prev10        2.40492  2.53860  0.13368          0.23830  0.18491  0.56100          
ave.outcome.prev10             0.25013  0.24099  -0.00914         0.03602  -0.03547 -0.25369         
---Overall Test---
      chisquare df p.value
strat      5.78  6   0.448
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     58 
$p.values
ForceUS     NPC 
   0.18    0.18 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.068543846 71.538053097  0.004987932 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.09816345 58.13739669 -0.16044536 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 5.7576830  1.0736127  0.8379726 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1293710  0.9738026 -0.2833999 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs FALSE ***


Tue Apr 21 20:00:00 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.077916e-01  6.186440e-01  8.325877e-01  8.379236e-01  9.650305e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.249731e-01  6.376748e-01  8.325877e-01  8.330237e-01  9.650305e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.249731e-01  6.376748e-01  8.325877e-01  8.330237e-01  9.650305e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.704704e+01
 X[ 2] :	9.298468e+02
 X[ 3] :	3.659272e+02
 X[ 4] :	5.291898e+02
 X[ 5] :	8.527003e-02
 X[ 6] :	3.548216e+02
 X[ 7] :	6.465950e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 20:05:50 2015
Total run time : 0 hours 5 minutes and 50 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6     Cleveland         9          6
3      Jackson         4          4         Grant         7          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5       Lincoln         4          3
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15         Nixon        12          9
9       Carter         9          7          Ford         4          4
10     Clinton        24         10        Reagan        33         24
11 Bush, G. W.        24         20    Eisenhower        28         18

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1900.5 
std mean diff.........    -19.881 	 	    -6.2803 

mean raw eQQ diff.....     25.455 	 	     17.273 
med  raw eQQ diff.....         30 	 	         20 
max  raw eQQ diff.....         44 	 	         24 

mean eCDF diff........    0.14855 	 	    0.11157 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.6467 
T-test p-value........    0.55587 	 	    0.62497 
KS Bootstrap p-value..      0.141 	 	      0.761 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.6547 
std mean diff.........    -3.6873 	 	     19.513 

mean raw eQQ diff.....    0.11593 	 	    0.23738 
med  raw eQQ diff.....   0.087011 	 	    0.22314 
max  raw eQQ diff.....    0.28768 	 	    0.78846 

mean eCDF diff........   0.057609 	 	   0.084416 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.1631 
T-test p-value........    0.91685 	 	    0.63767 
KS Bootstrap p-value..       0.94 	 	      0.962 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     7.4545 
std mean diff.........     3.8033 	 	     3.9034 

mean raw eQQ diff.....     1.3636 	 	     1.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.074126 	 	   0.062937 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.18182 

var ratio (Tr/Co).....     1.5096 	 	     1.6342 
T-test p-value........    0.91263 	 	    0.83302 
KS Bootstrap p-value..       0.51 	 	      0.944 
KS Naive p-value......    0.78997 	 	    0.99336 
KS Statistic..........    0.23427 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.6604 
std mean diff.........     25.199 	 	   -0.37759 

mean raw eQQ diff.....     1.3179 	 	    0.33078 
med  raw eQQ diff.....    0.77207 	 	   0.090349 
max  raw eQQ diff.....     4.1068 	 	     1.2786 

mean eCDF diff........    0.11713 	 	   0.058442 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.18182 

var ratio (Tr/Co).....     1.0183 	 	     1.1342 
T-test p-value........    0.49102 	 	    0.96503 
KS Bootstrap p-value..      0.289 	 	      0.941 
KS Naive p-value......    0.48681 	 	    0.99336 
KS Statistic..........     0.3007 	 	    0.18182 


Before Matching Minimum p.value: 0.141 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.62497 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.27832 
std mean diff.........     82.298 	 	     80.708 

mean raw eQQ diff.....    0.29281 	 	    0.29566 
med  raw eQQ diff.....    0.28571 	 	        0.2 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.28438 	 	    0.25974 
med  eCDF diff........    0.29545 	 	    0.27273 
max  eCDF diff........    0.43357 	 	    0.45455 

var ratio (Tr/Co).....      1.613 	 	      1.654 
T-test p-value........   0.027692 	 	     0.1016 
KS Bootstrap p-value..      0.059 	 	      0.153 
KS Naive p-value......    0.10936 	 	    0.20584 
KS Statistic..........    0.43357 	 	    0.45455 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.9076 
std mean diff.........    -95.918 	 	    -129.13 

mean raw eQQ diff.....    0.94073 	 	     1.3817 
med  raw eQQ diff.....    0.59918 	 	     1.2433 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.18943 	 	    0.25455 
med  eCDF diff........    0.19755 	 	    0.27273 
max  eCDF diff........    0.31818 	 	    0.45455 

var ratio (Tr/Co).....     0.6594 	 	    0.54364 
T-test p-value........   0.020711 	 	   0.014841 
KS Bootstrap p-value..      0.274 	 	      0.174 
KS Naive p-value......    0.41431 	 	    0.20584 
KS Statistic..........    0.31818 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.22299 
std mean diff.........      25.91 	 	     19.975 

mean raw eQQ diff.....    0.11912 	 	   0.097521 
med  raw eQQ diff.....   0.029762 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.067722 	 	    0.06993 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	      2.023 
T-test p-value........    0.43589 	 	     0.5948 
KS Bootstrap p-value..      0.685 	 	      0.938 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.35449 
std mean diff.........     33.031 	 	     18.485 

mean raw eQQ diff.....     0.1013 	 	   0.072314 
med  raw eQQ diff.....    0.10769 	 	   0.060714 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.16361 	 	    0.15657 
med  eCDF diff........    0.14685 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	      0.752 
T-test p-value........    0.37519 	 	    0.70274 
KS Bootstrap p-value..      0.043 	 	      0.409 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.8222 
std mean diff.........    -46.278 	 	    -53.652 

mean raw eQQ diff.....    0.70566 	 	    0.64343 
med  raw eQQ diff.....    0.52495 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	      1.509 

mean eCDF diff........    0.17473 	 	    0.12987 
med  eCDF diff........    0.16608 	 	   0.090909 
max  eCDF diff........     0.3951 	 	    0.27273 

var ratio (Tr/Co).....     0.2436 	 	    0.21064 
T-test p-value........    0.36007 	 	    0.40058 
KS Bootstrap p-value..       0.11 	 	      0.771 
KS Naive p-value......     0.1789 	 	    0.80792 
KS Statistic..........     0.3951 	 	    0.27273 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.22196 
std mean diff.........     9.7302 	 	     9.4528 

mean raw eQQ diff.....   0.053602 	 	    0.07661 
med  raw eQQ diff.....   0.045455 	 	      0.075 
max  raw eQQ diff.....    0.11429 	 	    0.11905 

mean eCDF diff........   0.066434 	 	    0.10795 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.71642 
T-test p-value........    0.79027 	 	    0.81206 
KS Bootstrap p-value..      0.843 	 	      0.688 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.014841 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2783   0.5740   0.2957           0.1867   0.9011  1.5839         
ave.log.duration.prev5          2.9076   1.5259   -1.3817          0.6283   -1.0837 -2.1991 *      
ave.outcome.prev5               0.2230   0.3027   0.0797           0.1471   0.2311  0.5420         
ForceUS.prop.prev10             0.3545   0.3965   0.0420           0.1077   0.1713  0.3900         
ave.log.duration.prev10         2.8222   2.5386   -0.2836          0.3341   -0.3165 -0.8487        
ave.outcome.prev10              0.2220   0.2410   0.0190           0.0782   0.0864  0.2435         
---Overall Test---
      chisquare df p.value
strat      7.85  6   0.249
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -1 
$p.values
ForceUS     NPC 
      1       1 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.25865549 78.91173731  0.05395125 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2163289 78.8972353  0.1245310 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 29.357398   2.254190   6.555193 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.508512   2.520225   1.044089 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs TRUE ***


Tue Apr 21 20:33:30 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.137643e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.201400e-01  9.003905e-01  9.218951e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.892426e-01  6.926299e-01  7.274777e-01  7.661998e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.892426e-01  6.926299e-01  7.274777e-01  7.661998e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.594875e+02
 X[ 2] :	8.807449e+02
 X[ 3] :	5.707342e+02
 X[ 4] :	4.586813e+02
 X[ 5] :	1.591313e+01
 X[ 6] :	9.275785e+00
 X[ 7] :	1.594501e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 20:40:05 2015
Total run time : 0 hours 6 minutes and 35 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4         Grant         7          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15         Nixon        12          9
9       Carter         9          7          Ford         4          4
10     Clinton        24         10        Reagan        33         24
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1898.5 
std mean diff.........    -19.881 	 	     -3.744 

mean raw eQQ diff.....     25.455 	 	     11.364 
med  raw eQQ diff.....         30 	 	         12 
max  raw eQQ diff.....         44 	 	         24 

mean eCDF diff........    0.14855 	 	   0.076555 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     2.1777 	 	     1.3273 
T-test p-value........    0.55587 	 	    0.68924 
KS Bootstrap p-value..      0.141 	 	      0.972 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.7651 
std mean diff.........    -3.6873 	 	      10.44 

mean raw eQQ diff.....    0.11593 	 	    0.39822 
med  raw eQQ diff.....   0.087011 	 	    0.37469 
max  raw eQQ diff.....    0.28768 	 	    0.89794 

mean eCDF diff........   0.057609 	 	    0.11888 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.27273 

var ratio (Tr/Co).....     1.2747 	 	     1.9708 
T-test p-value........    0.91685 	 	     0.7662 
KS Bootstrap p-value..       0.94 	 	      0.665 
KS Naive p-value......    0.99733 	 	    0.80792 
KS Statistic..........    0.14336 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.0909 
std mean diff.........     3.8033 	 	    -5.2045 

mean raw eQQ diff.....     1.3636 	 	     1.8182 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.074126 	 	   0.083333 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.6116 
T-test p-value........    0.91263 	 	    0.72748 
KS Bootstrap p-value..       0.51 	 	      0.694 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.7721 
std mean diff.........     25.199 	 	    -4.9597 

mean raw eQQ diff.....     1.3179 	 	    0.21903 
med  raw eQQ diff.....    0.77207 	 	   0.002738 
max  raw eQQ diff.....     4.1068 	 	     1.2786 

mean eCDF diff........    0.11713 	 	   0.082645 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.27273 

var ratio (Tr/Co).....     1.0183 	 	     1.2833 
T-test p-value........    0.49102 	 	    0.69263 
KS Bootstrap p-value..      0.289 	 	      0.596 
KS Naive p-value......    0.48681 	 	    0.80792 
KS Statistic..........     0.3007 	 	    0.27273 


Before Matching Minimum p.value: 0.141 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.596 
Variable Name(s): TermYrsAdj  Number(s): 7 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.37185 
std mean diff.........     82.298 	 	     55.176 

mean raw eQQ diff.....    0.29281 	 	    0.20213 
med  raw eQQ diff.....    0.28571 	 	    0.13187 
max  raw eQQ diff.....    0.66667 	 	    0.63636 

mean eCDF diff........    0.28438 	 	    0.17483 
med  eCDF diff........    0.29545 	 	    0.18182 
max  eCDF diff........    0.43357 	 	    0.36364 

var ratio (Tr/Co).....      1.613 	 	     1.1665 
T-test p-value........   0.027692 	 	    0.19533 
KS Bootstrap p-value..      0.059 	 	      0.366 
KS Naive p-value......    0.10936 	 	    0.46107 
KS Statistic..........    0.43357 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.4388 
std mean diff.........    -95.918 	 	    -85.309 

mean raw eQQ diff.....    0.94073 	 	    0.91285 
med  raw eQQ diff.....    0.59918 	 	    0.99173 
max  raw eQQ diff.....     2.3128 	 	     1.6404 

mean eCDF diff........    0.18943 	 	    0.16043 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.36364 

var ratio (Tr/Co).....     0.6594 	 	    0.92567 
T-test p-value........   0.020711 	 	   0.020599 
KS Bootstrap p-value..      0.274 	 	      0.371 
KS Naive p-value......    0.41431 	 	    0.46107 
KS Statistic..........    0.31818 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	     0.2793 
std mean diff.........      25.91 	 	     5.8624 

mean raw eQQ diff.....    0.11912 	 	    0.15484 
med  raw eQQ diff.....   0.029762 	 	   0.095238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.067722 	 	    0.10744 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.6244 
T-test p-value........    0.43589 	 	    0.84111 
KS Bootstrap p-value..      0.685 	 	      0.938 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.41169 
std mean diff.........     33.031 	 	    -6.6817 

mean raw eQQ diff.....     0.1013 	 	   0.086113 
med  raw eQQ diff.....    0.10769 	 	   0.041667 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	    0.12727 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.59051 
T-test p-value........    0.37519 	 	    0.89423 
KS Bootstrap p-value..      0.043 	 	      0.704 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	      2.504 
std mean diff.........    -46.278 	 	       6.54 

mean raw eQQ diff.....    0.70566 	 	    0.69023 
med  raw eQQ diff.....    0.52495 	 	    0.36092 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.17473 	 	    0.19192 
med  eCDF diff........    0.16608 	 	    0.13636 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.20939 
T-test p-value........    0.36007 	 	    0.92329 
KS Bootstrap p-value..       0.11 	 	      0.154 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.28533 
std mean diff.........     9.7302 	 	    -22.018 

mean raw eQQ diff.....   0.053602 	 	    0.11246 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.14205 
med  eCDF diff........   0.052448 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.52277 
T-test p-value........    0.79027 	 	    0.53616 
KS Bootstrap p-value..      0.843 	 	      0.705 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.020599 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3719   0.5740   0.2021           0.1579   0.5726  1.2803         
ave.log.duration.prev5          2.4388   1.5259   -0.9128          0.4315   -0.8365 -2.1154 *      
ave.outcome.prev5               0.2793   0.3027   0.0234           0.1139   0.0652  0.2054         
ForceUS.prop.prev10             0.4117   0.3965   -0.0152          0.1114   -0.0576 -0.1363        
ave.log.duration.prev10         2.5040   2.5386   0.0346           0.3502   0.0385  0.0987         
ave.outcome.prev10              0.2853   0.2410   -0.0443          0.0705   -0.1824 -0.6290        
---Overall Test---
      chisquare df p.value
strat      7.53  6   0.274
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -5 
$p.values
ForceUS     NPC 
   0.95    0.95 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.207064647 92.209239538 -0.002099895 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.124075167 88.698921028  0.006368884 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
23.9159667  2.6247874  0.6929654 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.8125098  3.0022649  0.3610268 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs FALSE ***


Tue Apr 21 21:08:29 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.877195e-02  9.923835e-02  1.313913e-01  1.490070e-01  1.490070e-01  1.836795e-01  2.058362e-01  2.812107e-01  3.493348e-01  3.935807e-01  4.303209e-01  4.610718e-01  5.412367e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.414104e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.143294e-01  8.160564e-01  8.325877e-01  9.009233e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.877195e-02  1.057851e-01  1.313913e-01  1.490070e-01  1.490070e-01  1.836795e-01  2.058362e-01  2.812107e-01  3.788644e-01  3.948206e-01  4.176080e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.720232e-01  7.365182e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.244063e-01  8.325877e-01  8.355853e-01  9.077811e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	9.612162e-02  1.116657e-01  1.243124e-01  1.490070e-01  1.490070e-01  1.801476e-01  2.058362e-01  3.204600e-01  3.809720e-01  3.956395e-01  4.176080e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.726373e-01  6.613776e-01  6.613776e-01  6.823771e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.294060e-01  8.325877e-01  8.372877e-01  9.077811e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	9.840016e-02  1.236055e-01  1.248067e-01  1.490070e-01  1.490070e-01  1.501273e-01  1.992649e-01  2.058362e-01  4.023449e-01  4.568157e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.722874e-01  6.561624e-01  7.485189e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.019263e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.986017e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.840016e-02  1.236055e-01  1.248067e-01  1.490070e-01  1.490070e-01  1.501273e-01  1.992649e-01  2.058362e-01  4.023449e-01  4.568157e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.722874e-01  6.561624e-01  7.485189e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.019263e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.986017e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.121723e+02
 X[ 2] :	3.103952e+02
 X[ 3] :	1.985912e+02
 X[ 4] :	7.709409e+02
 X[ 5] :	1.244964e+01
 X[ 6] :	7.279390e+02
 X[ 7] :	5.573438e+02
 X[ 8] :	5.406574e+02
 X[ 9] :	1.189658e+02
 X[10] :	8.404068e+02
 X[11] :	6.768223e+01
 X[12] :	1.538622e+02
 X[13] :	7.117152e+02
 X[14] :	5.574515e+00
 X[15] :	3.479996e+02
 X[16] :	1.150284e+02
 X[17] :	3.672000e+01
 X[18] :	7.172625e+02

Solution Found Generation 3
Number of Generations Run 14

Tue Apr 21 21:29:45 2015
Total run time : 0 hours 21 minutes and 16 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15         Nixon        12          9
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1917.8 
std mean diff.........    -19.881 	 	    -29.348 

mean raw eQQ diff.....     25.455 	 	     24.818 
med  raw eQQ diff.....         30 	 	         20 
max  raw eQQ diff.....         44 	 	         64 

mean eCDF diff........    0.14855 	 	    0.11157 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.4557 
T-test p-value........    0.55587 	 	     0.0984 
KS Bootstrap p-value..      0.141 	 	      0.775 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.8367 
std mean diff.........    -3.6873 	 	     4.5551 

mean raw eQQ diff.....    0.11593 	 	    0.21459 
med  raw eQQ diff.....   0.087011 	 	    0.22314 
max  raw eQQ diff.....    0.28768 	 	    0.58779 

mean eCDF diff........   0.057609 	 	   0.054545 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.1477 
T-test p-value........    0.91685 	 	    0.90193 
KS Bootstrap p-value..       0.94 	 	      0.963 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     7.7273 
std mean diff.........     3.8033 	 	          0 

mean raw eQQ diff.....     1.3636 	 	     1.6364 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.074126 	 	   0.078788 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.3706 
T-test p-value........    0.91263 	 	          1 
KS Bootstrap p-value..       0.51 	 	      0.735 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	      5.182 
std mean diff.........     25.199 	 	     19.237 

mean raw eQQ diff.....     1.3179 	 	     1.3562 
med  raw eQQ diff.....    0.77207 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	    0.11888 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.27273 

var ratio (Tr/Co).....     1.0183 	 	     0.6776 
T-test p-value........    0.49102 	 	    0.57229 
KS Bootstrap p-value..      0.289 	 	      0.618 
KS Naive p-value......    0.48681 	 	    0.80792 
KS Statistic..........     0.3007 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.43471 
std mean diff.........     82.298 	 	     38.019 

mean raw eQQ diff.....    0.29281 	 	    0.14187 
med  raw eQQ diff.....    0.28571 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.078788 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	      1.687 
T-test p-value........   0.027692 	 	    0.12361 
KS Bootstrap p-value..      0.055 	 	      0.694 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1976 
std mean diff.........    -95.918 	 	    -62.765 

mean raw eQQ diff.....    0.94073 	 	    0.67161 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.14833 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.36364 

var ratio (Tr/Co).....     0.6594 	 	    0.90389 
T-test p-value........   0.020711 	 	    0.15013 
KS Bootstrap p-value..      0.281 	 	      0.398 
KS Naive p-value......    0.41431 	 	    0.46107 
KS Statistic..........    0.31818 	 	    0.36364 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.23435 
std mean diff.........      25.91 	 	     17.127 

mean raw eQQ diff.....    0.11912 	 	   0.095898 
med  raw eQQ diff.....   0.029762 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.066116 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.7973 
T-test p-value........    0.43589 	 	    0.19926 
KS Bootstrap p-value..      0.701 	 	      0.932 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.39643 
std mean diff.........     33.031 	 	   0.033251 

mean raw eQQ diff.....     0.1013 	 	   0.030155 
med  raw eQQ diff.....    0.10769 	 	   0.021164 
max  raw eQQ diff.....    0.16667 	 	        0.1 

mean eCDF diff........    0.16361 	 	   0.055556 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.18182 

var ratio (Tr/Co).....     0.9248 	 	    0.90928 
T-test p-value........    0.37519 	 	     0.9986 
KS Bootstrap p-value..      0.049 	 	      0.984 
KS Naive p-value......   0.090399 	 	    0.99336 
KS Statistic..........    0.44755 	 	    0.18182 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4666 
std mean diff.........    -46.278 	 	     13.626 

mean raw eQQ diff.....    0.70566 	 	    0.39311 
med  raw eQQ diff.....    0.52495 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.44689 
T-test p-value........    0.36007 	 	    0.74852 
KS Bootstrap p-value..      0.104 	 	       0.17 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25636 
std mean diff.........     9.7302 	 	    -7.6341 

mean raw eQQ diff.....   0.053602 	 	   0.080132 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10695 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.61501 
T-test p-value........    0.79027 	 	    0.65616 
KS Bootstrap p-value..      0.797 	 	      0.738 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	    0.18182 
std mean diff.........    -20.874 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.045455 
med  eCDF diff........   0.031469 	 	   0.045455 
max  eCDF diff........   0.062937 	 	   0.090909 

var ratio (Tr/Co).....    0.67149 	 	    0.55556 
T-test p-value........    0.59288 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.3122 
std mean diff.........    -68.646 	 	    -36.748 

mean raw eQQ diff.....     1.7435 	 	    0.98188 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18986 	 	    0.11111 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.27273 

var ratio (Tr/Co).....     1.6297 	 	     2.0473 
T-test p-value........   0.060099 	 	    0.12481 
KS Bootstrap p-value..      0.016 	 	      0.572 
KS Naive p-value......   0.051894 	 	    0.80792 
KS Statistic..........    0.48601 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     35.477 
std mean diff.........     -19.07 	 	    -13.574 

mean raw eQQ diff.....      5.376 	 	     5.1684 
med  raw eQQ diff.....     3.0065 	 	     5.4441 
max  raw eQQ diff.....     17.833 	 	         19 

mean eCDF diff........   0.075895 	 	   0.086124 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.70859 
T-test p-value........    0.60667 	 	    0.45682 
KS Bootstrap p-value..      0.581 	 	      0.756 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.45455 
std mean diff.........      28.12 	 	          0 

mean raw eQQ diff.....    0.18182 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.073427 	 	          0 
med  eCDF diff........   0.073427 	 	          0 
max  eCDF diff........    0.14685 	 	          0 

var ratio (Tr/Co).....     1.2311 	 	          1 
T-test p-value........    0.43202 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     16.182 
std mean diff.........     13.778 	 	     9.5526 

mean raw eQQ diff.....     4.8182 	 	     2.5455 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         13 	 	          5 

mean eCDF diff........   0.092885 	 	   0.069519 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.2728 
T-test p-value........    0.69251 	 	    0.40234 
KS Bootstrap p-value..       0.81 	 	      0.967 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.016 
Variable Name(s): log.war.dead.pct  Number(s): 15 

After Matching Minimum p.value: 0.0984 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.43471 
std mean diff.........     82.298 	 	     38.019 

mean raw eQQ diff.....    0.29281 	 	    0.14187 
med  raw eQQ diff.....    0.28571 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.078788 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	      1.687 
T-test p-value........   0.027692 	 	    0.12361 
KS Bootstrap p-value..      0.059 	 	      0.707 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1976 
std mean diff.........    -95.918 	 	    -62.765 

mean raw eQQ diff.....    0.94073 	 	    0.67161 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.14833 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.36364 

var ratio (Tr/Co).....     0.6594 	 	    0.90389 
T-test p-value........   0.020711 	 	    0.15013 
KS Bootstrap p-value..      0.274 	 	      0.381 
KS Naive p-value......    0.41431 	 	    0.46107 
KS Statistic..........    0.31818 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.23435 
std mean diff.........      25.91 	 	     17.127 

mean raw eQQ diff.....    0.11912 	 	   0.095898 
med  raw eQQ diff.....   0.029762 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.066116 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.7973 
T-test p-value........    0.43589 	 	    0.19926 
KS Bootstrap p-value..      0.685 	 	      0.923 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.39643 
std mean diff.........     33.031 	 	   0.033251 

mean raw eQQ diff.....     0.1013 	 	   0.030155 
med  raw eQQ diff.....    0.10769 	 	   0.021164 
max  raw eQQ diff.....    0.16667 	 	        0.1 

mean eCDF diff........    0.16361 	 	   0.055556 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.18182 

var ratio (Tr/Co).....     0.9248 	 	    0.90928 
T-test p-value........    0.37519 	 	     0.9986 
KS Bootstrap p-value..      0.043 	 	      0.976 
KS Naive p-value......   0.090399 	 	    0.99336 
KS Statistic..........    0.44755 	 	    0.18182 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4666 
std mean diff.........    -46.278 	 	     13.626 

mean raw eQQ diff.....    0.70566 	 	    0.39311 
med  raw eQQ diff.....    0.52495 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.44689 
T-test p-value........    0.36007 	 	    0.74852 
KS Bootstrap p-value..       0.11 	 	      0.165 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25636 
std mean diff.........     9.7302 	 	    -7.6341 

mean raw eQQ diff.....   0.053602 	 	   0.080132 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10695 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.61501 
T-test p-value........    0.79027 	 	    0.65616 
KS Bootstrap p-value..      0.843 	 	      0.704 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.12361 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata     strat                                                                   
                        stat    South1=0  South1=1  adj.diff adj.diff.null.sd  std.diff      z             
vars                                                                                                       
ForceUS.prop.prev5             4.35e-01  5.74e-01  1.39e-01         9.29e-02  4.26e-01  1.50e+00           
ave.log.duration.prev5         2.20e+00  1.53e+00  -6.72e-01        4.76e-01  -6.12e-01 -1.41e+00          
ave.outcome.prev5              2.34e-01  3.03e-01  6.83e-02         5.38e-02  1.94e-01  1.27e+00           
ForceUS.prop.prev10            3.96e-01  3.97e-01  7.56e-05         4.21e-02  3.25e-04  1.80e-03           
ave.log.duration.prev10        2.47e+00  2.54e+00  7.20e-02         2.20e-01  1.07e-01  3.28e-01           
ave.outcome.prev10             2.56e-01  2.41e-01  -1.54e-02        3.38e-02  -6.66e-02 -4.55e-01          
---Overall Test---
      chisquare df p.value
strat      6.29  6   0.391
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     27 
$p.values
ForceUS     NPC 
  0.369   0.369 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.21928380 86.32177403  0.03416341 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2298209 85.3691690  0.1550505 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 21.818738   2.860202   3.839525 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.156908   2.695810   1.037786 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs TRUE ***


Tue Apr 21 22:00:26 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.054740e-01  1.225354e-01  1.439715e-01  1.458541e-01  1.996904e-01  2.058362e-01  2.992239e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.557836e-01  4.610718e-01  5.085854e-01  5.417796e-01  6.468438e-01  6.613776e-01  6.613776e-01  7.963066e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.762357e-01  9.532049e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	1.127373e-01  1.172137e-01  1.302910e-01  1.393807e-01  1.490070e-01  1.490070e-01  1.692873e-01  2.058362e-01  2.058362e-01  3.766332e-01  3.767697e-01  4.204572e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.854963e-01  6.613776e-01  6.613776e-01  7.707375e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.280041e-01  9.031753e-01  9.051210e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.127373e-01  1.172137e-01  1.302910e-01  1.393807e-01  1.490070e-01  1.490070e-01  1.692873e-01  2.058362e-01  2.058362e-01  3.766332e-01  3.767697e-01  4.204572e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.854963e-01  6.613776e-01  6.613776e-01  7.707375e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.280041e-01  9.031753e-01  9.051210e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.511614e+02
 X[ 2] :	8.345266e+00
 X[ 3] :	4.824329e+02
 X[ 4] :	7.728865e+02
 X[ 5] :	3.607123e+02
 X[ 6] :	2.587122e+02
 X[ 7] :	3.056277e+01
 X[ 8] :	8.085174e+01
 X[ 9] :	1.712944e+02
 X[10] :	7.721036e+02
 X[11] :	6.348685e+02
 X[12] :	2.771583e+02
 X[13] :	2.664787e+02
 X[14] :	8.080152e-01
 X[15] :	2.253634e+02
 X[16] :	7.582170e+02
 X[17] :	1.109335e+02
 X[18] :	3.748163e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 22:18:47 2015
Total run time : 0 hours 18 minutes and 21 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13      McKinley         3          1
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1913.8 
std mean diff.........    -19.881 	 	    -24.034 

mean raw eQQ diff.....     25.455 	 	     21.182 
med  raw eQQ diff.....         30 	 	         16 
max  raw eQQ diff.....         44 	 	         52 

mean eCDF diff........    0.14855 	 	    0.11818 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.3277 
T-test p-value........    0.55587 	 	    0.11274 
KS Bootstrap p-value..      0.141 	 	      0.759 
KS Naive p-value......    0.16871 	 	    0.80792 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.8026 
std mean diff.........    -3.6873 	 	     7.3551 

mean raw eQQ diff.....    0.11593 	 	    0.16417 
med  raw eQQ diff.....   0.087011 	 	    0.16034 
max  raw eQQ diff.....    0.28768 	 	    0.40547 

mean eCDF diff........   0.057609 	 	   0.060606 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.0176 
T-test p-value........    0.91685 	 	      0.828 
KS Bootstrap p-value..       0.94 	 	      0.962 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.1818 
std mean diff.........     3.8033 	 	    -6.5056 

mean raw eQQ diff.....     1.3636 	 	     1.9091 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          5 

mean eCDF diff........   0.074126 	 	   0.083916 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	      1.472 
T-test p-value........    0.91263 	 	     0.5855 
KS Bootstrap p-value..       0.51 	 	      0.713 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     4.0112 
std mean diff.........     25.199 	 	     67.242 

mean raw eQQ diff.....     1.3179 	 	     1.7803 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	          4 

mean eCDF diff........    0.11713 	 	    0.24476 
med  eCDF diff........     0.1049 	 	    0.27273 
max  eCDF diff........     0.3007 	 	    0.45455 

var ratio (Tr/Co).....     1.0183 	 	      1.614 
T-test p-value........    0.49102 	 	    0.13029 
KS Bootstrap p-value..      0.289 	 	      0.157 
KS Naive p-value......    0.48681 	 	    0.20584 
KS Statistic..........     0.3007 	 	    0.45455 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.41596 
std mean diff.........     82.298 	 	     43.137 

mean raw eQQ diff.....    0.29281 	 	    0.15802 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.10606 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.3935 
T-test p-value........   0.027692 	 	    0.11721 
KS Bootstrap p-value..      0.055 	 	      0.699 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2438 
std mean diff.........    -95.918 	 	    -67.088 

mean raw eQQ diff.....    0.94073 	 	    0.71787 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.15508 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     0.8135 
T-test p-value........   0.020711 	 	    0.16929 
KS Bootstrap p-value..      0.281 	 	      0.715 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.25996 
std mean diff.........      25.91 	 	      10.71 

mean raw eQQ diff.....    0.11912 	 	   0.082799 
med  raw eQQ diff.....   0.029762 	 	    0.02381 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.067722 	 	   0.057851 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.8378 
T-test p-value........    0.43589 	 	    0.37677 
KS Bootstrap p-value..      0.701 	 	      0.946 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	     0.3503 
std mean diff.........     33.031 	 	      20.33 

mean raw eQQ diff.....     0.1013 	 	   0.050866 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	    0.10795 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.84676 
T-test p-value........    0.37519 	 	    0.13938 
KS Bootstrap p-value..      0.049 	 	      0.732 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.5622 
std mean diff.........    -46.278 	 	    -4.4621 

mean raw eQQ diff.....    0.70566 	 	    0.29751 
med  raw eQQ diff.....    0.52495 	 	     0.1643 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	     0.1866 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.51029 
T-test p-value........    0.36007 	 	    0.90318 
KS Bootstrap p-value..      0.104 	 	       0.16 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.21062 
std mean diff.........     9.7302 	 	     15.084 

mean raw eQQ diff.....   0.053602 	 	   0.072797 
med  raw eQQ diff.....   0.045455 	 	   0.079487 
max  raw eQQ diff.....    0.11429 	 	      0.125 

mean eCDF diff........   0.066434 	 	    0.13636 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	    0.67375 
T-test p-value........    0.79027 	 	    0.42046 
KS Bootstrap p-value..      0.797 	 	      0.382 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	    0.18182 
std mean diff.........    -20.874 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.045455 
med  eCDF diff........   0.031469 	 	   0.045455 
max  eCDF diff........   0.062937 	 	   0.090909 

var ratio (Tr/Co).....    0.67149 	 	    0.55556 
T-test p-value........    0.59288 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.6545 
std mean diff.........    -68.646 	 	    -23.939 

mean raw eQQ diff.....     1.7435 	 	     1.0532 
med  raw eQQ diff.....     1.2586 	 	    0.16944 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.18986 	 	   0.090909 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.18182 

var ratio (Tr/Co).....     1.6297 	 	     1.1295 
T-test p-value........   0.060099 	 	    0.37663 
KS Bootstrap p-value..      0.016 	 	      0.915 
KS Naive p-value......   0.051894 	 	    0.99336 
KS Statistic..........    0.48601 	 	    0.18182 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	      33.87 
std mean diff.........     -19.07 	 	    -4.9681 

mean raw eQQ diff.....      5.376 	 	     3.3384 
med  raw eQQ diff.....     3.0065 	 	     2.6746 
max  raw eQQ diff.....     17.833 	 	          6 

mean eCDF diff........   0.075895 	 	   0.080214 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.18182 

var ratio (Tr/Co).....    0.91704 	 	    0.80106 
T-test p-value........    0.60667 	 	    0.77074 
KS Bootstrap p-value..      0.581 	 	      0.968 
KS Naive p-value......     0.7592 	 	    0.99336 
KS Statistic..........    0.24126 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........      28.12 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.073427 	 	   0.045455 
med  eCDF diff........   0.073427 	 	   0.045455 
max  eCDF diff........    0.14685 	 	   0.090909 

var ratio (Tr/Co).....     1.2311 	 	     1.0714 
T-test p-value........    0.43202 	 	    0.66138 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     17.455 
std mean diff.........     13.778 	 	     1.1941 

mean raw eQQ diff.....     4.8182 	 	     2.7273 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         13 	 	          6 

mean eCDF diff........   0.092885 	 	   0.090909 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.3365 
T-test p-value........    0.69251 	 	    0.90512 
KS Bootstrap p-value..       0.81 	 	      0.977 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.016 
Variable Name(s): log.war.dead.pct  Number(s): 15 

After Matching Minimum p.value: 0.11274 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.41596 
std mean diff.........     82.298 	 	     43.137 

mean raw eQQ diff.....    0.29281 	 	    0.15802 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.10606 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.3935 
T-test p-value........   0.027692 	 	    0.11721 
KS Bootstrap p-value..      0.059 	 	       0.68 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2438 
std mean diff.........    -95.918 	 	    -67.088 

mean raw eQQ diff.....    0.94073 	 	    0.71787 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.15508 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     0.8135 
T-test p-value........   0.020711 	 	    0.16929 
KS Bootstrap p-value..      0.274 	 	      0.723 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.25996 
std mean diff.........      25.91 	 	      10.71 

mean raw eQQ diff.....    0.11912 	 	   0.082799 
med  raw eQQ diff.....   0.029762 	 	    0.02381 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.067722 	 	   0.057851 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.8378 
T-test p-value........    0.43589 	 	    0.37677 
KS Bootstrap p-value..      0.685 	 	      0.944 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	     0.3503 
std mean diff.........     33.031 	 	      20.33 

mean raw eQQ diff.....     0.1013 	 	   0.050866 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	    0.10795 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.84676 
T-test p-value........    0.37519 	 	    0.13938 
KS Bootstrap p-value..      0.043 	 	      0.698 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.5622 
std mean diff.........    -46.278 	 	    -4.4621 

mean raw eQQ diff.....    0.70566 	 	    0.29751 
med  raw eQQ diff.....    0.52495 	 	     0.1643 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	     0.1866 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.51029 
T-test p-value........    0.36007 	 	    0.90318 
KS Bootstrap p-value..       0.11 	 	      0.161 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.21062 
std mean diff.........     9.7302 	 	     15.084 

mean raw eQQ diff.....   0.053602 	 	   0.072797 
med  raw eQQ diff.....   0.045455 	 	   0.079487 
max  raw eQQ diff.....    0.11429 	 	      0.125 

mean eCDF diff........   0.066434 	 	    0.13636 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	    0.67375 
T-test p-value........    0.79027 	 	    0.42046 
KS Bootstrap p-value..      0.843 	 	      0.328 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11721 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4160   0.5740   0.1580           0.1038   0.4655  1.5230         
ave.log.duration.prev5          2.2438   1.5259   -0.7179          0.5307   -0.6354 -1.3527        
ave.outcome.prev5               0.2600   0.3027   0.0427           0.0480   0.1219  0.8910         
ForceUS.prop.prev10             0.3503   0.3965   0.0462           0.0320   0.1947  1.4454         
ave.log.duration.prev10         2.5622   2.5386   -0.0236          0.1891   -0.0367 -0.1247        
ave.outcome.prev10              0.2106   0.2410   0.0304           0.0373   0.1353  0.8144         
---Overall Test---
      chisquare df p.value
strat      4.72  6   0.581
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     58 
$p.values
ForceUS     NPC 
   0.15    0.15 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.21399839 80.97441673 -0.06773934 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.16572544 77.75860882  0.04283747 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 17.975865   1.435327  -4.946742 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.4926331  1.4397958  0.1094582 

Closed Testing
Intersection 1 of 7 

*** primary party.covs FALSE ***


Tue Apr 21 22:50:59 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	5.681614e-02  6.112241e-02  7.445339e-02  7.498001e-02  7.580170e-02  9.771635e-02  1.490070e-01  1.490070e-01  1.628670e-01  2.058362e-01  3.133125e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.617776e-01  4.754340e-01  4.759461e-01  5.325881e-01  5.706690e-01  5.706690e-01  6.254980e-01  6.956955e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.275695e-02  7.877195e-02  8.075519e-02  1.490070e-01  1.490070e-01  1.558191e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.812107e-01  3.189527e-01  3.189527e-01  3.569800e-01  3.847285e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.024727e-01  6.163469e-01  7.093477e-01  7.646168e-01  8.032989e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.080913e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.275695e-02  7.877195e-02  8.075519e-02  1.490070e-01  1.490070e-01  1.558191e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.812107e-01  3.189527e-01  3.189527e-01  3.569800e-01  3.847285e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.024727e-01  6.163469e-01  7.093477e-01  7.646168e-01  8.032989e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.080913e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.820127e+02
 X[ 2] :	8.740381e+02
 X[ 3] :	6.209299e+02
 X[ 4] :	3.353831e+02
 X[ 5] :	1.126985e+02
 X[ 6] :	5.163666e+02
 X[ 7] :	4.477333e+02
 X[ 8] :	8.604572e+02
 X[ 9] :	4.696768e+02
 X[10] :	3.079684e+02
 X[11] :	3.948888e+02
 X[12] :	8.769386e+02
 X[13] :	8.883277e+02
 X[14] :	2.794649e+01
 X[15] :	8.832966e+02
 X[16] :	1.408063e+02
 X[17] :	8.220636e+02
 X[18] :	4.892953e+02
 X[19] :	4.526239e+01
 X[20] :	1.255504e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 21 23:08:52 2015
Total run time : 0 hours 17 minutes and 53 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6        Hoover         1          0
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	       1916 
std mean diff.........    -19.881 	 	    -26.933 

mean raw eQQ diff.....     25.455 	 	     25.545 
med  raw eQQ diff.....         30 	 	         20 
max  raw eQQ diff.....         44 	 	         64 

mean eCDF diff........    0.14855 	 	    0.11983 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.5414 
T-test p-value........    0.55587 	 	    0.15582 
KS Bootstrap p-value..      0.141 	 	      0.767 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.8367 
std mean diff.........    -3.6873 	 	     4.5551 

mean raw eQQ diff.....    0.11593 	 	    0.21459 
med  raw eQQ diff.....   0.087011 	 	    0.22314 
max  raw eQQ diff.....    0.28768 	 	    0.58779 

mean eCDF diff........   0.057609 	 	   0.054545 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.1477 
T-test p-value........    0.91685 	 	    0.90809 
KS Bootstrap p-value..       0.94 	 	      0.958 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.3636 
std mean diff.........     3.8033 	 	    -9.1078 

mean raw eQQ diff.....     1.3636 	 	     1.3636 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.074126 	 	   0.084416 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.0287 
T-test p-value........    0.91263 	 	    0.35698 
KS Bootstrap p-value..       0.51 	 	      0.702 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     4.7126 
std mean diff.........     25.199 	 	     38.484 

mean raw eQQ diff.....     1.3179 	 	     1.8256 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	    0.17532 
med  eCDF diff........     0.1049 	 	    0.18182 
max  eCDF diff........     0.3007 	 	    0.36364 

var ratio (Tr/Co).....     1.0183 	 	    0.71758 
T-test p-value........    0.49102 	 	    0.28121 
KS Bootstrap p-value..      0.289 	 	      0.339 
KS Naive p-value......    0.48681 	 	    0.46107 
KS Statistic..........     0.3007 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42072 
std mean diff.........     82.298 	 	     41.837 

mean raw eQQ diff.....    0.29281 	 	    0.15586 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.090909 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.4855 
T-test p-value........   0.027692 	 	   0.078772 
KS Bootstrap p-value..      0.055 	 	        0.7 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1582 
std mean diff.........    -95.918 	 	    -59.088 

mean raw eQQ diff.....    0.94073 	 	    0.63226 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.12919 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     0.8906 
T-test p-value........   0.020711 	 	   0.080755 
KS Bootstrap p-value..      0.281 	 	      0.737 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.24589 
std mean diff.........      25.91 	 	     14.236 

mean raw eQQ diff.....    0.11912 	 	    0.08436 
med  raw eQQ diff.....   0.029762 	 	  0.0026316 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.057851 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.9381 
T-test p-value........    0.43589 	 	    0.61635 
KS Bootstrap p-value..      0.701 	 	      0.944 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.37702 
std mean diff.........     33.031 	 	     8.5709 

mean raw eQQ diff.....     0.1013 	 	   0.046171 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	   0.080808 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.79614 
T-test p-value........    0.37519 	 	    0.76462 
KS Bootstrap p-value..      0.049 	 	      0.734 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4802 
std mean diff.........    -46.278 	 	     11.047 

mean raw eQQ diff.....    0.70566 	 	    0.37948 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.45029 
T-test p-value........    0.36007 	 	     0.8033 
KS Bootstrap p-value..      0.104 	 	      0.164 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.26307 
std mean diff.........     9.7302 	 	    -10.965 

mean raw eQQ diff.....   0.053602 	 	   0.073425 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10695 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.65399 
T-test p-value........    0.79027 	 	    0.60247 
KS Bootstrap p-value..      0.797 	 	      0.749 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	    0.18182 
std mean diff.........    -20.874 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.045455 
med  eCDF diff........   0.031469 	 	   0.045455 
max  eCDF diff........   0.062937 	 	   0.090909 

var ratio (Tr/Co).....    0.67149 	 	    0.55556 
T-test p-value........    0.59288 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.3276 
std mean diff.........    -68.646 	 	    -36.171 

mean raw eQQ diff.....     1.7435 	 	    0.96647 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18986 	 	    0.10101 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.27273 

var ratio (Tr/Co).....     1.6297 	 	      2.041 
T-test p-value........   0.060099 	 	   0.062757 
KS Bootstrap p-value..      0.016 	 	      0.605 
KS Naive p-value......   0.051894 	 	    0.80792 
KS Statistic..........    0.48601 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     36.192 
std mean diff.........     -19.07 	 	    -17.402 

mean raw eQQ diff.....      5.376 	 	     5.8833 
med  raw eQQ diff.....     3.0065 	 	     5.4441 
max  raw eQQ diff.....     17.833 	 	     26.769 

mean eCDF diff........   0.075895 	 	   0.095694 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.65213 
T-test p-value........    0.60667 	 	    0.38473 
KS Bootstrap p-value..      0.581 	 	      0.744 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........      28.12 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.073427 	 	   0.045455 
med  eCDF diff........   0.073427 	 	   0.045455 
max  eCDF diff........    0.14685 	 	   0.090909 

var ratio (Tr/Co).....     1.2311 	 	     1.0714 
T-test p-value........    0.43202 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     17.091 
std mean diff.........     13.778 	 	     3.5822 

mean raw eQQ diff.....     4.8182 	 	     2.1818 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         13 	 	          4 

mean eCDF diff........   0.092885 	 	   0.069519 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.1316 
T-test p-value........    0.69251 	 	    0.70935 
KS Bootstrap p-value..       0.81 	 	      0.969 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.54545 
std mean diff.........     116.69 	 	      67.42 

mean raw eQQ diff.....    0.45455 	 	    0.27273 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.23601 	 	    0.13636 
med  eCDF diff........    0.23601 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....    0.69519 	 	        0.6 
T-test p-value........  0.0057476 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.062757 
Variable Name(s): log.war.dead.pct  Number(s): 15 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42072 
std mean diff.........     82.298 	 	     41.837 

mean raw eQQ diff.....    0.29281 	 	    0.15586 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.090909 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.4855 
T-test p-value........   0.027692 	 	   0.078772 
KS Bootstrap p-value..      0.059 	 	        0.7 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1582 
std mean diff.........    -95.918 	 	    -59.088 

mean raw eQQ diff.....    0.94073 	 	    0.63226 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.12919 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     0.8906 
T-test p-value........   0.020711 	 	   0.080755 
KS Bootstrap p-value..      0.274 	 	      0.714 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.24589 
std mean diff.........      25.91 	 	     14.236 

mean raw eQQ diff.....    0.11912 	 	    0.08436 
med  raw eQQ diff.....   0.029762 	 	  0.0026316 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.057851 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.9381 
T-test p-value........    0.43589 	 	    0.61635 
KS Bootstrap p-value..      0.685 	 	      0.936 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.37702 
std mean diff.........     33.031 	 	     8.5709 

mean raw eQQ diff.....     0.1013 	 	   0.046171 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	   0.080808 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.79614 
T-test p-value........    0.37519 	 	    0.76462 
KS Bootstrap p-value..      0.043 	 	      0.739 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4802 
std mean diff.........    -46.278 	 	     11.047 

mean raw eQQ diff.....    0.70566 	 	    0.37948 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.18182 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.45029 
T-test p-value........    0.36007 	 	     0.8033 
KS Bootstrap p-value..       0.11 	 	      0.177 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.26307 
std mean diff.........     9.7302 	 	    -10.965 

mean raw eQQ diff.....   0.053602 	 	   0.073425 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10695 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.65399 
T-test p-value........    0.79027 	 	    0.60247 
KS Bootstrap p-value..      0.843 	 	      0.717 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.078772 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4207   0.5740   0.1533           0.0909   0.4574  1.6857  .      
ave.log.duration.prev5          2.1582   1.5259   -0.6323          0.3772   -0.5735 -1.6761 .      
ave.outcome.prev5               0.2459   0.3027   0.0568           0.1112   0.1635  0.5109         
ForceUS.prop.prev10             0.3770   0.3965   0.0195           0.0636   0.0807  0.3064         
ave.log.duration.prev10         2.4802   2.5386   0.0584           0.2289   0.0870  0.2550         
ave.outcome.prev10              0.2631   0.2410   -0.0221          0.0416   -0.0975 -0.5309        
---Overall Test---
      chisquare df p.value
strat      7.33  6   0.291
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     51 
$p.values
ForceUS     NPC 
   0.09    0.09 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.21253212 76.16385955  0.02141022 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2243113 79.1717401  0.1458678 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 18.596560   2.333444   2.260562 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9982265  1.7011178  0.8671361 

Closed Testing
Intersection 1 of 7 

*** primary party.covs TRUE ***


Tue Apr 21 23:42:23 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.580170e-02  8.448082e-02  1.445933e-01  1.532211e-01  2.921328e-01  2.975930e-01  2.978365e-01  3.051916e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.254514e-01  4.565332e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.796245e-01  5.008304e-01  5.706690e-01  5.706690e-01  6.442914e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.720064e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.580170e-02  9.799934e-02  1.108914e-01  1.466153e-01  1.531724e-01  1.908820e-01  1.962873e-01  2.617215e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.789340e-01  4.951302e-01  5.442041e-01  6.011796e-01  6.276188e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.608478e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	7.580170e-02  1.032524e-01  1.087289e-01  1.296383e-01  1.534401e-01  1.721273e-01  2.680266e-01  2.778376e-01  2.923232e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.393980e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.579154e-01  6.884471e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.711484e-01  9.663634e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.580170e-02  1.032524e-01  1.087289e-01  1.296383e-01  1.534401e-01  1.721273e-01  2.680266e-01  2.778376e-01  2.923232e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.393980e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.579154e-01  6.884471e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.711484e-01  9.663634e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.462878e+02
 X[ 2] :	7.891829e+01
 X[ 3] :	1.708730e+02
 X[ 4] :	7.846167e+02
 X[ 5] :	7.557216e+02
 X[ 6] :	2.892541e+02
 X[ 7] :	1.186483e+02
 X[ 8] :	9.888427e+02
 X[ 9] :	3.872480e+02
 X[10] :	3.534319e+02
 X[11] :	3.101200e+01
 X[12] :	2.484406e+02
 X[13] :	6.963867e+02
 X[14] :	1.702131e+02
 X[15] :	3.975710e+01
 X[16] :	9.543551e+02
 X[17] :	4.216165e+02
 X[18] :	2.829558e+02
 X[19] :	1.562932e+01
 X[20] :	1.802239e+02

Solution Found Generation 3
Number of Generations Run 14

Wed Apr 22 00:03:49 2015
Total run time : 0 hours 21 minutes and 26 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5       Coolidge         1          1
7       Wilson        15         13  Roosevelt, F.        10          8
8  Johnson, L.        22         15        Kennedy         9          3
9       Carter         9          7           Ford         4          4
10     Clinton        24         10 Bush, G. H. W.         8          5
11 Bush, G. W.        24         20         Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1902.7 
std mean diff.........    -19.881 	 	    -9.2997 

mean raw eQQ diff.....     25.455 	 	     13.727 
med  raw eQQ diff.....         30 	 	         12 
max  raw eQQ diff.....         44 	 	         58 

mean eCDF diff........    0.14855 	 	   0.072727 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     2.1777 	 	     1.1826 
T-test p-value........    0.55587 	 	    0.26803 
KS Bootstrap p-value..      0.141 	 	      0.973 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     2.2834 
std mean diff.........    -3.6873 	 	    -32.163 

mean raw eQQ diff.....    0.11593 	 	    0.58605 
med  raw eQQ diff.....   0.087011 	 	    0.46262 
max  raw eQQ diff.....    0.28768 	 	     1.7918 

mean eCDF diff........   0.057609 	 	    0.12338 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.36364 

var ratio (Tr/Co).....     1.2747 	 	      3.616 
T-test p-value........    0.91685 	 	    0.27784 
KS Bootstrap p-value..       0.94 	 	      0.336 
KS Naive p-value......    0.99733 	 	    0.46107 
KS Statistic..........    0.14336 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.4545 
std mean diff.........     3.8033 	 	    -10.409 

mean raw eQQ diff.....     1.3636 	 	     1.4545 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.074126 	 	   0.097403 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.0977 
T-test p-value........    0.91263 	 	    0.55792 
KS Bootstrap p-value..       0.51 	 	      0.717 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.0008 
std mean diff.........     25.199 	 	     26.666 

mean raw eQQ diff.....     1.3179 	 	     1.6459 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	    0.13223 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.36364 

var ratio (Tr/Co).....     1.0183 	 	    0.77221 
T-test p-value........    0.49102 	 	     0.4394 
KS Bootstrap p-value..      0.289 	 	      0.287 
KS Naive p-value......    0.48681 	 	    0.46107 
KS Statistic..........     0.3007 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.45917 
std mean diff.........     82.298 	 	     31.342 

mean raw eQQ diff.....    0.29281 	 	    0.11482 
med  raw eQQ diff.....    0.28571 	 	   0.063158 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.11364 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	    0.98471 
T-test p-value........   0.027692 	 	    0.12964 
KS Bootstrap p-value..      0.055 	 	      0.655 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.0692 
std mean diff.........    -95.918 	 	    -50.769 

mean raw eQQ diff.....    0.94073 	 	    0.56244 
med  raw eQQ diff.....    0.59918 	 	    0.15852 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	   0.085859 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.3561 
T-test p-value........   0.020711 	 	    0.10873 
KS Bootstrap p-value..      0.281 	 	       0.73 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.22331 
std mean diff.........      25.91 	 	     19.894 

mean raw eQQ diff.....    0.11912 	 	     0.1472 
med  raw eQQ diff.....   0.029762 	 	   0.076923 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.082645 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.9753 	 	     2.6834 
T-test p-value........    0.43589 	 	    0.29232 
KS Bootstrap p-value..      0.701 	 	      0.641 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.52505 
std mean diff.........     33.031 	 	    -56.561 

mean raw eQQ diff.....     0.1013 	 	    0.15689 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	     0.1016 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.42317 
T-test p-value........    0.37519 	 	    0.10325 
KS Bootstrap p-value..      0.049 	 	      0.407 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4869 
std mean diff.........    -46.278 	 	     9.7755 

mean raw eQQ diff.....    0.70566 	 	    0.64162 
med  raw eQQ diff.....    0.52495 	 	    0.36092 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.24402 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.54545 

var ratio (Tr/Co).....     0.2436 	 	    0.23576 
T-test p-value........    0.36007 	 	    0.87115 
KS Bootstrap p-value..      0.104 	 	      0.054 
KS Naive p-value......     0.1789 	 	   0.075802 
KS Statistic..........     0.3951 	 	    0.54545 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.29742 
std mean diff.........     9.7302 	 	    -28.021 

mean raw eQQ diff.....   0.053602 	 	   0.096838 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	   0.096257 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.45283 
T-test p-value........    0.79027 	 	    0.15344 
KS Bootstrap p-value..      0.797 	 	      0.744 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	          0 
std mean diff.........    -20.874 	 	     30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.045455 
med  eCDF diff........   0.031469 	 	   0.045455 
max  eCDF diff........   0.062937 	 	   0.090909 

var ratio (Tr/Co).....    0.67149 	 	        Inf 
T-test p-value........    0.59288 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.2296 
std mean diff.........    -68.646 	 	    -39.839 

mean raw eQQ diff.....     1.7435 	 	     1.5894 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	      5.228 

mean eCDF diff........    0.18986 	 	    0.14773 
med  eCDF diff........    0.16434 	 	    0.13636 
max  eCDF diff........    0.48601 	 	    0.27273 

var ratio (Tr/Co).....     1.6297 	 	     23.753 
T-test p-value........   0.060099 	 	    0.17213 
KS Bootstrap p-value..      0.016 	 	      0.535 
KS Naive p-value......   0.051894 	 	    0.80792 
KS Statistic..........    0.48601 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     34.306 
std mean diff.........     -19.07 	 	    -7.3059 

mean raw eQQ diff.....      5.376 	 	     5.9505 
med  raw eQQ diff.....     3.0065 	 	     5.4441 
max  raw eQQ diff.....     17.833 	 	         19 

mean eCDF diff........   0.075895 	 	    0.11111 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.63516 
T-test p-value........    0.60667 	 	    0.68845 
KS Bootstrap p-value..      0.581 	 	      0.753 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.45455 
std mean diff.........      28.12 	 	          0 

mean raw eQQ diff.....    0.18182 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.073427 	 	          0 
med  eCDF diff........   0.073427 	 	          0 
max  eCDF diff........    0.14685 	 	          0 

var ratio (Tr/Co).....     1.2311 	 	          1 
T-test p-value........    0.43202 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     17.727 
std mean diff.........     13.778 	 	   -0.59703 

mean raw eQQ diff.....     4.8182 	 	     3.5455 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         13 	 	          9 

mean eCDF diff........   0.092885 	 	   0.074866 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.0062 
T-test p-value........    0.69251 	 	    0.96636 
KS Bootstrap p-value..       0.81 	 	      0.969 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.63636 
std mean diff.........     116.69 	 	     44.947 

mean raw eQQ diff.....    0.45455 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.23601 	 	   0.090909 
med  eCDF diff........    0.23601 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.18182 

var ratio (Tr/Co).....    0.69519 	 	    0.64286 
T-test p-value........  0.0057476 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.054 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.45917 
std mean diff.........     82.298 	 	     31.342 

mean raw eQQ diff.....    0.29281 	 	    0.11482 
med  raw eQQ diff.....    0.28571 	 	   0.063158 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.11364 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	    0.98471 
T-test p-value........   0.027692 	 	    0.12964 
KS Bootstrap p-value..      0.059 	 	      0.658 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.0692 
std mean diff.........    -95.918 	 	    -50.769 

mean raw eQQ diff.....    0.94073 	 	    0.56244 
med  raw eQQ diff.....    0.59918 	 	    0.15852 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	   0.085859 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.3561 
T-test p-value........   0.020711 	 	    0.10873 
KS Bootstrap p-value..      0.274 	 	      0.732 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.22331 
std mean diff.........      25.91 	 	     19.894 

mean raw eQQ diff.....    0.11912 	 	     0.1472 
med  raw eQQ diff.....   0.029762 	 	   0.076923 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.082645 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.9753 	 	     2.6834 
T-test p-value........    0.43589 	 	    0.29232 
KS Bootstrap p-value..      0.685 	 	      0.616 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.52505 
std mean diff.........     33.031 	 	    -56.561 

mean raw eQQ diff.....     0.1013 	 	    0.15689 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	     0.1016 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.42317 
T-test p-value........    0.37519 	 	    0.10325 
KS Bootstrap p-value..      0.043 	 	      0.386 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4869 
std mean diff.........    -46.278 	 	     9.7755 

mean raw eQQ diff.....    0.70566 	 	    0.64162 
med  raw eQQ diff.....    0.52495 	 	    0.36092 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.24402 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.54545 

var ratio (Tr/Co).....     0.2436 	 	    0.23576 
T-test p-value........    0.36007 	 	    0.87115 
KS Bootstrap p-value..       0.11 	 	      0.066 
KS Naive p-value......     0.1789 	 	   0.075802 
KS Statistic..........     0.3951 	 	    0.54545 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.29742 
std mean diff.........     9.7302 	 	    -28.021 

mean raw eQQ diff.....   0.053602 	 	   0.096838 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	   0.096257 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.45283 
T-test p-value........    0.79027 	 	    0.15344 
KS Bootstrap p-value..      0.843 	 	      0.718 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.066 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4592   0.5740   0.1148           0.0777   0.3122  1.4784         
ave.log.duration.prev5          2.0692   1.5259   -0.5432          0.3493   -0.5447 -1.5553        
ave.outcome.prev5               0.2233   0.3027   0.0794           0.0753   0.2401  1.0540         
ForceUS.prop.prev10             0.5250   0.3965   -0.1285          0.0815   -0.4362 -1.5771        
ave.log.duration.prev10         2.4869   2.5386   0.0517           0.3109   0.0604  0.1662         
ave.outcome.prev10              0.2974   0.2410   -0.0564          0.0403   -0.2212 -1.4003        
---Overall Test---
      chisquare df p.value
strat      6.09  6   0.413
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     35 
$p.values
ForceUS     NPC 
  0.211   0.211 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.14057182 69.41241207 -0.01622419 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.04416896 66.73280533 -0.11893939 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
13.4246086  1.6837910 -0.8884729 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.8032746  1.7138140  0.1652959 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs FALSE ***


Wed Apr 22 00:37:41 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.256168e-02  1.240043e-01  1.257438e-01  1.490070e-01  1.490070e-01  1.955250e-01  2.058362e-01  2.408554e-01  3.145001e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.192428e-01  4.742962e-01  5.408935e-01  5.675530e-01  5.706690e-01  5.706690e-01  6.472030e-01  7.940060e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.118303e-01  8.325877e-01  8.408950e-01  9.796588e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.993013e-02  1.124243e-01  1.179286e-01  1.490070e-01  1.490070e-01  1.649280e-01  2.058362e-01  2.408554e-01  3.112199e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.336784e-01  4.123263e-01  4.192428e-01  4.610718e-01  5.125274e-01  5.185680e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  6.623172e-01  6.933075e-01  7.480024e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.756107e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      2 	9.154628e-02  1.380015e-01  1.490070e-01  1.490070e-01  2.058362e-01  2.184084e-01  2.244827e-01  3.151023e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.483145e-01  4.610718e-01  4.625896e-01  5.079837e-01  5.402470e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  6.740368e-01  7.682732e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.353676e-01  8.509941e-01  8.719027e-01  9.593428e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.154628e-02  1.380015e-01  1.490070e-01  1.490070e-01  2.058362e-01  2.184084e-01  2.244827e-01  3.151023e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.483145e-01  4.610718e-01  4.625896e-01  5.079837e-01  5.402470e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  6.740368e-01  7.682732e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.353676e-01  8.509941e-01  8.719027e-01  9.593428e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	3.829490e+02
 X[ 2] :	1.720474e+02
 X[ 3] :	1.912272e+02
 X[ 4] :	8.216364e+02
 X[ 5] :	9.034766e+01
 X[ 6] :	5.454553e+02
 X[ 7] :	2.157700e+02
 X[ 8] :	3.753399e+02
 X[ 9] :	5.179028e+02
 X[10] :	9.488737e+02
 X[11] :	8.491052e+02
 X[12] :	2.760537e+02
 X[13] :	7.225126e+02
 X[14] :	1.985665e+01
 X[15] :	3.167385e+02
 X[16] :	1.934684e+02
 X[17] :	2.499744e+01
 X[18] :	3.795733e+02
 X[19] :	6.851113e+02
 X[20] :	3.073154e+02
 X[21] :	4.452413e+02
 X[22] :	9.094038e+02

Solution Found Generation 2
Number of Generations Run 13

Wed Apr 22 01:00:00 2015
Total run time : 0 hours 22 minutes and 19 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7         Obama         4          3
10     Clinton        24         10        Truman         6          4
11 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1913.7 
std mean diff.........    -19.881 	 	    -23.913 

mean raw eQQ diff.....     25.455 	 	     28.545 
med  raw eQQ diff.....         30 	 	         20 
max  raw eQQ diff.....         44 	 	         64 

mean eCDF diff........    0.14855 	 	     0.1281 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.6706 
T-test p-value........    0.55587 	 	    0.22448 
KS Bootstrap p-value..      0.141 	 	      0.768 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.45455 
std mean diff.........    -19.405 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	    0.93333 
T-test p-value........    0.59663 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.7929 
std mean diff.........    -3.6873 	 	     8.1558 

mean raw eQQ diff.....    0.11593 	 	    0.25839 
med  raw eQQ diff.....   0.087011 	 	    0.22314 
max  raw eQQ diff.....    0.28768 	 	     1.0986 

mean eCDF diff........   0.057609 	 	   0.058442 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	    0.96066 
T-test p-value........    0.91685 	 	    0.83537 
KS Bootstrap p-value..       0.94 	 	      0.962 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	          8 
std mean diff.........     3.8033 	 	    -3.9034 

mean raw eQQ diff.....     1.3636 	 	     1.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.074126 	 	   0.090909 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.0567 
T-test p-value........    0.91263 	 	    0.76827 
KS Bootstrap p-value..       0.51 	 	      0.702 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.6104 
std mean diff.........     25.199 	 	     1.6736 

mean raw eQQ diff.....     1.3179 	 	    0.94481 
med  raw eQQ diff.....    0.77207 	 	    0.53114 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	   0.097403 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.27273 

var ratio (Tr/Co).....     1.0183 	 	    0.67916 
T-test p-value........    0.49102 	 	    0.95934 
KS Bootstrap p-value..      0.289 	 	      0.632 
KS Naive p-value......    0.48681 	 	    0.80792 
KS Statistic..........     0.3007 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.41797 
std mean diff.........     82.298 	 	     42.589 

mean raw eQQ diff.....    0.29281 	 	    0.15861 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.097902 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.4784 
T-test p-value........   0.027692 	 	   0.091546 
KS Bootstrap p-value..      0.055 	 	      0.686 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1969 
std mean diff.........    -95.918 	 	    -62.705 

mean raw eQQ diff.....    0.94073 	 	    0.67097 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.10909 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2038 
T-test p-value........   0.020711 	 	      0.138 
KS Bootstrap p-value..      0.281 	 	      0.757 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.25346 
std mean diff.........      25.91 	 	     12.338 

mean raw eQQ diff.....    0.11912 	 	   0.087128 
med  raw eQQ diff.....   0.029762 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.055944 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.0975 
T-test p-value........    0.43589 	 	    0.34831 
KS Bootstrap p-value..      0.701 	 	      0.953 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.37096 
std mean diff.........     33.031 	 	     11.238 

mean raw eQQ diff.....     0.1013 	 	    0.04757 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	   0.085859 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.78955 
T-test p-value........    0.37519 	 	    0.54025 
KS Bootstrap p-value..      0.049 	 	      0.727 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4439 
std mean diff.........    -46.278 	 	     17.919 

mean raw eQQ diff.....    0.70566 	 	     0.4158 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.19048 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.42844 
T-test p-value........    0.36007 	 	    0.67404 
KS Bootstrap p-value..      0.104 	 	      0.156 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	     0.2608 
std mean diff.........     9.7302 	 	    -9.8364 

mean raw eQQ diff.....   0.053602 	 	   0.062877 
med  raw eQQ diff.....   0.045455 	 	   0.054487 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	   0.074866 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.98043 	 	    0.68007 
T-test p-value........    0.79027 	 	    0.50798 
KS Bootstrap p-value..      0.797 	 	       0.98 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	    0.27273 
std mean diff.........    -20.874 	 	    -60.302 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.090909 
med  eCDF diff........   0.031469 	 	   0.090909 
max  eCDF diff........   0.062937 	 	    0.18182 

var ratio (Tr/Co).....    0.67149 	 	    0.41667 
T-test p-value........    0.59288 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	     -3.112 
std mean diff.........    -68.646 	 	     -44.24 

mean raw eQQ diff.....     1.7435 	 	     1.1821 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18986 	 	    0.12727 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.36364 

var ratio (Tr/Co).....     1.6297 	 	     1.8295 
T-test p-value........   0.060099 	 	    0.21841 
KS Bootstrap p-value..      0.016 	 	      0.259 
KS Naive p-value......   0.051894 	 	    0.46107 
KS Statistic..........    0.48601 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     33.606 
std mean diff.........     -19.07 	 	    -3.5536 

mean raw eQQ diff.....      5.376 	 	     4.0761 
med  raw eQQ diff.....     3.0065 	 	     2.4545 
max  raw eQQ diff.....     17.833 	 	         14 

mean eCDF diff........   0.075895 	 	    0.08134 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.85691 
T-test p-value........    0.60667 	 	     0.8719 
KS Bootstrap p-value..      0.581 	 	      0.729 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........      28.12 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.073427 	 	   0.045455 
med  eCDF diff........   0.073427 	 	   0.045455 
max  eCDF diff........    0.14685 	 	   0.090909 

var ratio (Tr/Co).....     1.2311 	 	     1.0714 
T-test p-value........    0.43202 	 	    0.66138 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     15.273 
std mean diff.........     13.778 	 	     15.523 

mean raw eQQ diff.....     4.8182 	 	     3.4545 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         13 	 	         17 

mean eCDF diff........   0.092885 	 	   0.085227 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.4695 	 	     1.2227 
T-test p-value........    0.69251 	 	    0.46259 
KS Bootstrap p-value..       0.81 	 	      0.719 
KS Naive p-value......    0.96032 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.72727 
std mean diff.........     116.69 	 	     22.473 

mean raw eQQ diff.....    0.45455 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.23601 	 	   0.045455 
med  eCDF diff........    0.23601 	 	   0.045455 
max  eCDF diff........    0.47203 	 	   0.090909 

var ratio (Tr/Co).....    0.69519 	 	       0.75 
T-test p-value........  0.0057476 	 	    0.57067 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........    0.35748 	 	    0.38068 
std mean diff.........     26.759 	 	     23.927 

mean raw eQQ diff.....    0.24922 	 	    0.25419 
med  raw eQQ diff.....   0.069814 	 	   0.073221 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.085459 	 	    0.08658 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.27273 

var ratio (Tr/Co).....     12.129 	 	     10.068 
T-test p-value........    0.40213 	 	     0.3151 
KS Bootstrap p-value..      0.747 	 	       0.75 
KS Naive p-value......    0.88563 	 	    0.80792 
KS Statistic..........    0.20979 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........    0.53846 	 	    0.63636 
std mean diff.........     35.432 	 	     6.6756 

mean raw eQQ diff.....    0.11364 	 	   0.068182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.096503 	 	   0.054545 
med  eCDF diff........    0.12238 	 	   0.090909 
max  eCDF diff........    0.17832 	 	   0.090909 

var ratio (Tr/Co).....    0.68804 	 	    0.69388 
T-test p-value........    0.36485 	 	    0.85099 
KS Bootstrap p-value..      0.604 	 	      0.997 
KS Naive p-value......    0.96658 	 	          1 
KS Statistic..........    0.17832 	 	   0.090909 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.091546 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.41797 
std mean diff.........     82.298 	 	     42.589 

mean raw eQQ diff.....    0.29281 	 	    0.15861 
med  raw eQQ diff.....    0.28571 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	   0.097902 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.4784 
T-test p-value........   0.027692 	 	   0.091546 
KS Bootstrap p-value..      0.059 	 	      0.699 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1969 
std mean diff.........    -95.918 	 	    -62.705 

mean raw eQQ diff.....    0.94073 	 	    0.67097 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.10909 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2038 
T-test p-value........   0.020711 	 	      0.138 
KS Bootstrap p-value..      0.274 	 	      0.739 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.25346 
std mean diff.........      25.91 	 	     12.338 

mean raw eQQ diff.....    0.11912 	 	   0.087128 
med  raw eQQ diff.....   0.029762 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.055944 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.0975 
T-test p-value........    0.43589 	 	    0.34831 
KS Bootstrap p-value..      0.685 	 	      0.961 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.37096 
std mean diff.........     33.031 	 	     11.238 

mean raw eQQ diff.....     0.1013 	 	    0.04757 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	   0.085859 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.78955 
T-test p-value........    0.37519 	 	    0.54025 
KS Bootstrap p-value..      0.043 	 	      0.735 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4439 
std mean diff.........    -46.278 	 	     17.919 

mean raw eQQ diff.....    0.70566 	 	     0.4158 
med  raw eQQ diff.....    0.52495 	 	     0.2541 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.19048 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.42844 
T-test p-value........    0.36007 	 	    0.67404 
KS Bootstrap p-value..       0.11 	 	      0.165 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	     0.2608 
std mean diff.........     9.7302 	 	    -9.8364 

mean raw eQQ diff.....   0.053602 	 	   0.062877 
med  raw eQQ diff.....   0.045455 	 	   0.054487 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	   0.074866 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.98043 	 	    0.68007 
T-test p-value........    0.79027 	 	    0.50798 
KS Bootstrap p-value..      0.843 	 	       0.98 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.091546 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4180   0.5740   0.1560           0.0959   0.4652  1.6265         
ave.log.duration.prev5          2.1969   1.5259   -0.6710          0.4628   -0.6554 -1.4499        
ave.outcome.prev5               0.2535   0.3027   0.0492           0.0522   0.1436  0.9434         
ForceUS.prop.prev10             0.3710   0.3965   0.0255           0.0410   0.1056  0.6228         
ave.log.duration.prev10         2.4439   2.5386   0.0947           0.2205   0.1388  0.4296         
ave.outcome.prev10              0.2608   0.2410   -0.0198          0.0295   -0.0885 -0.6723        
---Overall Test---
      chisquare df p.value
strat      5.55  6   0.476
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     42 
$p.values
ForceUS     NPC 
  0.159   0.159 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.23320454 61.23382775  0.03776642 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2344123 57.1666896  0.1458678 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
21.4548174  0.9532959  3.8299888 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.352552   1.139777   1.023825 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs TRUE ***


Wed Apr 22 01:35:32 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.580170e-02  8.448082e-02  1.445933e-01  1.532211e-01  2.105048e-01  2.921328e-01  2.975930e-01  2.978365e-01  3.051916e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.254514e-01  4.565332e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.796245e-01  5.008304e-01  5.706690e-01  5.706690e-01  6.442914e-01  7.199890e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.720064e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.580170e-02  9.799934e-02  1.108914e-01  1.466153e-01  1.531724e-01  1.908820e-01  1.962873e-01  2.428530e-01  2.617215e-01  2.966542e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.789340e-01  4.951302e-01  5.442041e-01  6.011796e-01  6.276188e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.608478e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	1.071246e-01  1.345791e-01  1.453968e-01  1.879595e-01  2.058362e-01  2.058362e-01  2.621079e-01  2.870457e-01  3.128580e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.192428e-01  4.192428e-01  4.354405e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.779039e-01  5.706690e-01  5.706690e-01  5.934225e-01  7.552543e-01  7.629608e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.879531e-01  9.214415e-01  9.590285e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	1.071246e-01  1.345791e-01  1.453968e-01  1.902564e-01  2.058362e-01  2.058362e-01  2.621079e-01  2.870457e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.375951e-01  4.192428e-01  4.192428e-01  4.354405e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.888455e-01  5.925205e-01  7.552543e-01  7.629608e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.879531e-01  9.157466e-01  9.590285e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.071246e-01  1.345791e-01  1.453968e-01  1.902564e-01  2.058362e-01  2.058362e-01  2.621079e-01  2.870457e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.375951e-01  4.192428e-01  4.192428e-01  4.354405e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.888455e-01  5.925205e-01  7.552543e-01  7.629608e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.879531e-01  9.157466e-01  9.590285e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.256010e+02
 X[ 2] :	4.140504e+02
 X[ 3] :	2.040311e+02
 X[ 4] :	2.919407e+02
 X[ 5] :	6.103960e+02
 X[ 6] :	9.156259e+02
 X[ 7] :	1.148887e+02
 X[ 8] :	6.292678e+02
 X[ 9] :	7.831534e+01
 X[10] :	7.271966e+02
 X[11] :	1.716866e+02
 X[12] :	7.450914e+02
 X[13] :	9.709664e+02
 X[14] :	1.498693e+02
 X[15] :	5.945455e+01
 X[16] :	4.015919e+02
 X[17] :	1.413900e+01
 X[18] :	1.139017e+02
 X[19] :	9.294642e+02
 X[20] :	2.066157e+02
 X[21] :	4.012546e+01
 X[22] :	3.814513e+02

Solution Found Generation 7
Number of Generations Run 18

Wed Apr 22 02:06:27 2015
Total run time : 0 hours 30 minutes and 55 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2        Lincoln         4          3
5         Polk         1          1       Buchanan         6          5
6  Johnson, A.         5          5       Buchanan         6          5
7       Wilson        15         13  Roosevelt, F.        10          8
8  Johnson, L.        22         15        Kennedy         9          3
9       Carter         9          7          Obama         4          3
10     Clinton        24         10         Truman         6          4
11 Bush, G. W.        24         20 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1905.7 
std mean diff.........    -19.881 	 	    -13.285 

mean raw eQQ diff.....     25.455 	 	     16.909 
med  raw eQQ diff.....         30 	 	         16 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.14855 	 	   0.081818 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.3255 
T-test p-value........    0.55587 	 	     0.3376 
KS Bootstrap p-value..      0.141 	 	      0.749 
KS Naive p-value......    0.16871 	 	    0.80792 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     1.9299 
std mean diff.........    -3.6873 	 	    -3.1118 

mean raw eQQ diff.....    0.11593 	 	    0.34022 
med  raw eQQ diff.....   0.087011 	 	    0.28768 
max  raw eQQ diff.....    0.28768 	 	     1.0986 

mean eCDF diff........   0.057609 	 	     0.1049 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.4014 
T-test p-value........    0.91685 	 	    0.91575 
KS Bootstrap p-value..       0.94 	 	      0.965 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.9091 
std mean diff.........     3.8033 	 	    -16.915 

mean raw eQQ diff.....     1.3636 	 	     1.7273 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.074126 	 	     0.1039 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.2116 
T-test p-value........    0.91263 	 	    0.28705 
KS Bootstrap p-value..       0.51 	 	      0.711 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	      5.116 
std mean diff.........     25.199 	 	     21.941 

mean raw eQQ diff.....     1.3179 	 	     1.4386 
med  raw eQQ diff.....    0.77207 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	    0.14685 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.36364 

var ratio (Tr/Co).....     1.0183 	 	    0.70841 
T-test p-value........    0.49102 	 	    0.58885 
KS Bootstrap p-value..      0.289 	 	      0.337 
KS Naive p-value......    0.48681 	 	    0.46107 
KS Statistic..........     0.3007 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.44297 
std mean diff.........     82.298 	 	     35.764 

mean raw eQQ diff.....    0.29281 	 	    0.13102 
med  raw eQQ diff.....    0.28571 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.11364 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.1736 
T-test p-value........   0.027692 	 	     0.1454 
KS Bootstrap p-value..      0.055 	 	      0.646 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1767 
std mean diff.........    -95.918 	 	    -60.818 

mean raw eQQ diff.....    0.94073 	 	    0.65078 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.18943 	 	    0.14646 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     2.0599 
T-test p-value........   0.020711 	 	    0.10712 
KS Bootstrap p-value..      0.281 	 	      0.742 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.21028 
std mean diff.........      25.91 	 	     23.158 

mean raw eQQ diff.....    0.11912 	 	    0.11034 
med  raw eQQ diff.....   0.029762 	 	   0.031818 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.077922 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.4516 
T-test p-value........    0.43589 	 	    0.13458 
KS Bootstrap p-value..      0.701 	 	      0.953 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.41628 
std mean diff.........     33.031 	 	     -8.701 

mean raw eQQ diff.....     0.1013 	 	    0.09605 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	    0.11765 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.50386 
T-test p-value........    0.37519 	 	    0.75525 
KS Bootstrap p-value..      0.049 	 	       0.41 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.3433 
std mean diff.........    -46.278 	 	     36.946 

mean raw eQQ diff.....    0.70566 	 	    0.25964 
med  raw eQQ diff.....    0.52495 	 	    0.17348 
max  raw eQQ diff.....     1.8581 	 	     1.0249 

mean eCDF diff........    0.17473 	 	    0.19617 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.82269 
T-test p-value........    0.36007 	 	    0.26211 
KS Bootstrap p-value..      0.104 	 	      0.168 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.24558 
std mean diff.........     9.7302 	 	    -2.2773 

mean raw eQQ diff.....   0.053602 	 	   0.082427 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.10303 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	    0.53701 
T-test p-value........    0.79027 	 	    0.88795 
KS Bootstrap p-value..      0.797 	 	      0.401 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	    0.18182 
std mean diff.........    -20.874 	 	    -30.151 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.031469 	 	   0.045455 
med  eCDF diff........   0.031469 	 	   0.045455 
max  eCDF diff........   0.062937 	 	   0.090909 

var ratio (Tr/Co).....    0.67149 	 	    0.55556 
T-test p-value........    0.59288 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	     -3.493 
std mean diff.........    -68.646 	 	    -29.982 

mean raw eQQ diff.....     1.7435 	 	     1.1394 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18986 	 	    0.10909 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.36364 

var ratio (Tr/Co).....     1.6297 	 	     3.1923 
T-test p-value........   0.060099 	 	    0.43544 
KS Bootstrap p-value..      0.016 	 	      0.268 
KS Naive p-value......   0.051894 	 	    0.46107 
KS Statistic..........    0.48601 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     31.117 
std mean diff.........     -19.07 	 	     9.7726 

mean raw eQQ diff.....      5.376 	 	     4.0453 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     17.833 	 	     7.8929 

mean eCDF diff........   0.075895 	 	   0.090909 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	     1.0604 
T-test p-value........    0.60667 	 	    0.59252 
KS Bootstrap p-value..      0.581 	 	      0.736 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.27273 
std mean diff.........      28.12 	 	     34.816 

mean raw eQQ diff.....    0.18182 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.073427 	 	   0.090909 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.14685 	 	    0.18182 

var ratio (Tr/Co).....     1.2311 	 	       1.25 
T-test p-value........    0.43202 	 	    0.41924 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     17.455 
std mean diff.........     13.778 	 	     1.1941 

mean raw eQQ diff.....     4.8182 	 	     4.1818 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         13 	 	         13 

mean eCDF diff........   0.092885 	 	   0.084848 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	    0.99307 
T-test p-value........    0.69251 	 	    0.95903 
KS Bootstrap p-value..       0.81 	 	      0.965 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.72727 
std mean diff.........     116.69 	 	     22.473 

mean raw eQQ diff.....    0.45455 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.23601 	 	   0.045455 
med  eCDF diff........    0.23601 	 	   0.045455 
max  eCDF diff........    0.47203 	 	   0.090909 

var ratio (Tr/Co).....    0.69519 	 	       0.75 
T-test p-value........  0.0057476 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........    0.35748 	 	    0.26593 
std mean diff.........     26.759 	 	     37.929 

mean raw eQQ diff.....    0.24922 	 	    0.33057 
med  raw eQQ diff.....   0.069814 	 	    0.09639 
max  raw eQQ diff.....     2.0547 	 	     2.4651 

mean eCDF diff........   0.085459 	 	    0.17703 
med  eCDF diff........   0.073427 	 	    0.18182 
max  eCDF diff........    0.20979 	 	    0.45455 

var ratio (Tr/Co).....     12.129 	 	     23.867 
T-test p-value........    0.40213 	 	    0.19026 
KS Bootstrap p-value..      0.747 	 	      0.156 
KS Naive p-value......    0.88563 	 	    0.20584 
KS Statistic..........    0.20979 	 	    0.45455 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........    0.53846 	 	    0.61364 
std mean diff.........     35.432 	 	     13.351 

mean raw eQQ diff.....    0.11364 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.096503 	 	   0.072727 
med  eCDF diff........    0.12238 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.68804 	 	    0.60355 
T-test p-value........    0.36485 	 	    0.76296 
KS Bootstrap p-value..      0.604 	 	      0.838 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.10712 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.44297 
std mean diff.........     82.298 	 	     35.764 

mean raw eQQ diff.....    0.29281 	 	    0.13102 
med  raw eQQ diff.....    0.28571 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.11364 
med  eCDF diff........    0.29545 	 	   0.090909 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.1736 
T-test p-value........   0.027692 	 	     0.1454 
KS Bootstrap p-value..      0.059 	 	      0.675 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.1767 
std mean diff.........    -95.918 	 	    -60.818 

mean raw eQQ diff.....    0.94073 	 	    0.65078 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.18943 	 	    0.14646 
med  eCDF diff........    0.19755 	 	    0.18182 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     2.0599 
T-test p-value........   0.020711 	 	    0.10712 
KS Bootstrap p-value..      0.274 	 	      0.736 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.21028 
std mean diff.........      25.91 	 	     23.158 

mean raw eQQ diff.....    0.11912 	 	    0.11034 
med  raw eQQ diff.....   0.029762 	 	   0.031818 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.077922 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.4516 
T-test p-value........    0.43589 	 	    0.13458 
KS Bootstrap p-value..      0.685 	 	      0.951 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.41628 
std mean diff.........     33.031 	 	     -8.701 

mean raw eQQ diff.....     0.1013 	 	    0.09605 
med  raw eQQ diff.....    0.10769 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	    0.11765 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....     0.9248 	 	    0.50386 
T-test p-value........    0.37519 	 	    0.75525 
KS Bootstrap p-value..      0.043 	 	        0.4 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.3433 
std mean diff.........    -46.278 	 	     36.946 

mean raw eQQ diff.....    0.70566 	 	    0.25964 
med  raw eQQ diff.....    0.52495 	 	    0.17348 
max  raw eQQ diff.....     1.8581 	 	     1.0249 

mean eCDF diff........    0.17473 	 	    0.19617 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.82269 
T-test p-value........    0.36007 	 	    0.26211 
KS Bootstrap p-value..       0.11 	 	      0.172 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.24558 
std mean diff.........     9.7302 	 	    -2.2773 

mean raw eQQ diff.....   0.053602 	 	   0.082427 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.10303 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.98043 	 	    0.53701 
T-test p-value........    0.79027 	 	    0.88795 
KS Bootstrap p-value..      0.843 	 	       0.37 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.10712 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.44297  0.57398  0.13102          0.09189  0.37165  1.42574          
ave.log.duration.prev5         2.17673  1.52595  -0.65078         0.41672  -0.70569 -1.56165         
ave.outcome.prev5              0.21028  0.30270  0.09242          0.06324  0.27602  1.46144          
ForceUS.prop.prev10            0.41628  0.39650  -0.01977         0.06200  -0.07123 -0.31892         
ave.log.duration.prev10        2.34333  2.53860  0.19527          0.17454  0.35103  1.11880          
ave.outcome.prev10             0.24558  0.24099  -0.00459         0.03176  -0.01904 -0.14439         
---Overall Test---
      chisquare df p.value
strat      5.41  6   0.493
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     49 
$p.values
ForceUS     NPC 
  0.139   0.139 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.15860066 44.45367810 -0.02143252 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07658402 49.04295225  0.02086777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
14.0361587  0.4035577 -1.5051853 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.1699689  0.5423625  0.2632955 

Closed Testing
Intersection 1 of 7 

*** primary full.covs FALSE ***


Wed Apr 22 02:41:27 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.580170e-02  9.881313e-02  1.490070e-01  1.490070e-01  1.490070e-01  1.523225e-01  1.721868e-01  1.730998e-01  1.730998e-01  1.869591e-01  2.219755e-01  2.895031e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.667385e-01  4.192428e-01  4.192428e-01  4.363789e-01  4.595723e-01  4.617784e-01  6.876579e-01  7.469866e-01  7.854209e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.799323e-01  8.911763e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	8.780657e-02  9.138838e-02  1.490070e-01  1.490070e-01  1.665827e-01  1.730998e-01  1.730998e-01  1.890929e-01  2.041176e-01  2.058362e-01  2.360606e-01  2.758839e-01  3.179486e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.621110e-01  5.999505e-01  6.428440e-01  6.887372e-01  7.417847e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.753361e-01  8.767256e-01  9.612475e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	1.157851e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.549995e-01  1.730998e-01  1.730998e-01  1.869591e-01  2.058362e-01  2.182521e-01  2.262970e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.196957e-01  3.677184e-01  4.363789e-01  4.407718e-01  5.217930e-01  6.613776e-01  6.613776e-01  6.949951e-01  7.348506e-01  7.649199e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.269540e-01  9.740929e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.157851e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.549995e-01  1.730998e-01  1.730998e-01  1.869591e-01  2.058362e-01  2.182521e-01  2.262970e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.196957e-01  3.677184e-01  4.363789e-01  4.407718e-01  5.217930e-01  6.613776e-01  6.613776e-01  6.949951e-01  7.348506e-01  7.649199e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  9.269540e-01  9.740929e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.048304e+02
 X[ 2] :	6.924839e+02
 X[ 3] :	1.093694e+01
 X[ 4] :	7.923731e+02
 X[ 5] :	3.710754e+02
 X[ 6] :	5.178205e+02
 X[ 7] :	1.739273e+02
 X[ 8] :	4.299780e+02
 X[ 9] :	1.000243e+02
 X[10] :	4.132487e+02
 X[11] :	1.101524e+01
 X[12] :	1.999809e+02
 X[13] :	1.884661e+01
 X[14] :	1.943152e+01
 X[15] :	1.941034e+02
 X[16] :	8.372056e+02
 X[17] :	3.702085e+02
 X[18] :	5.130223e+02
 X[19] :	1.392691e+02
 X[20] :	5.218883e+01
 X[21] :	6.460622e+02
 X[22] :	6.203807e+02
 X[23] :	5.590373e+02
 X[24] :	8.915040e+02

Solution Found Generation 3
Number of Generations Run 14

Wed Apr 22 03:07:19 2015
Total run time : 0 hours 25 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4      Buchanan         6          5
4        Tyler         2          2     Cleveland         9          6
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5  Adams, J. Q.         1          0
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10        Reagan        33         24
11 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1913.8 
std mean diff.........    -19.881 	 	    -24.034 

mean raw eQQ diff.....     25.455 	 	         27 
med  raw eQQ diff.....         30 	 	         20 
max  raw eQQ diff.....         44 	 	         64 

mean eCDF diff........    0.14855 	 	     0.1281 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     2.1777 	 	     1.7696 
T-test p-value........    0.55587 	 	     0.2263 
KS Bootstrap p-value..      0.141 	 	      0.772 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	     2.0556 
std mean diff.........    -3.6873 	 	    -13.443 

mean raw eQQ diff.....    0.11593 	 	    0.32141 
med  raw eQQ diff.....   0.087011 	 	    0.25131 
max  raw eQQ diff.....    0.28768 	 	     1.0986 

mean eCDF diff........   0.057609 	 	   0.072727 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.14336 	 	    0.18182 

var ratio (Tr/Co).....     1.2747 	 	     1.5432 
T-test p-value........    0.91685 	 	      0.695 
KS Bootstrap p-value..       0.94 	 	      0.969 
KS Naive p-value......    0.99733 	 	    0.99336 
KS Statistic..........    0.14336 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     8.3636 
std mean diff.........     3.8033 	 	    -9.1078 

mean raw eQQ diff.....     1.3636 	 	     1.3636 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          2 

mean eCDF diff........   0.074126 	 	   0.090909 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	      1.074 
T-test p-value........    0.91263 	 	    0.43638 
KS Bootstrap p-value..       0.51 	 	      0.728 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.6768 
std mean diff.........     25.199 	 	    -1.0511 

mean raw eQQ diff.....     1.3179 	 	    0.97044 
med  raw eQQ diff.....    0.77207 	 	    0.53114 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	   0.083916 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.18182 

var ratio (Tr/Co).....     1.0183 	 	    0.69895 
T-test p-value........    0.49102 	 	    0.97409 
KS Bootstrap p-value..      0.289 	 	      0.939 
KS Naive p-value......    0.48681 	 	    0.99336 
KS Statistic..........     0.3007 	 	    0.18182 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.36977 
std mean diff.........     82.298 	 	     55.744 

mean raw eQQ diff.....    0.29281 	 	    0.20421 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.13636 
med  eCDF diff........    0.29545 	 	    0.13636 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.5606 
T-test p-value........   0.027692 	 	    0.11579 
KS Bootstrap p-value..      0.055 	 	      0.703 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2477 
std mean diff.........    -95.918 	 	    -67.453 

mean raw eQQ diff.....    0.94073 	 	    0.72178 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.13636 
med  eCDF diff........    0.19755 	 	    0.13636 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2092 
T-test p-value........   0.020711 	 	      0.155 
KS Bootstrap p-value..      0.281 	 	      0.758 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.22483 
std mean diff.........      25.91 	 	     19.514 

mean raw eQQ diff.....    0.11912 	 	    0.09027 
med  raw eQQ diff.....   0.029762 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.075758 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.8037 
T-test p-value........    0.43589 	 	    0.36772 
KS Bootstrap p-value..      0.701 	 	      0.934 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.36429 
std mean diff.........     33.031 	 	     14.175 

mean raw eQQ diff.....     0.1013 	 	   0.050397 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	    0.09596 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.79743 
T-test p-value........    0.37519 	 	    0.76492 
KS Bootstrap p-value..      0.049 	 	      0.738 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4298 
std mean diff.........    -46.278 	 	     20.582 

mean raw eQQ diff.....    0.70566 	 	    0.42987 
med  raw eQQ diff.....    0.52495 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.19048 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.42663 
T-test p-value........    0.36007 	 	    0.73485 
KS Bootstrap p-value..      0.104 	 	      0.176 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.24776 
std mean diff.........     9.7302 	 	    -3.3589 

mean raw eQQ diff.....   0.053602 	 	    0.07592 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10101 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.61335 
T-test p-value........    0.79027 	 	    0.92695 
KS Bootstrap p-value..      0.797 	 	      0.733 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	   0.090909 
std mean diff.........    -20.874 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.031469 	 	          0 
med  eCDF diff........   0.031469 	 	          0 
max  eCDF diff........   0.062937 	 	          0 

var ratio (Tr/Co).....    0.67149 	 	          1 
T-test p-value........    0.59288 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.0596 
std mean diff.........    -68.646 	 	    -46.205 

mean raw eQQ diff.....     1.7435 	 	     1.2346 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     5.0585 

mean eCDF diff........    0.18986 	 	      0.125 
med  eCDF diff........    0.16434 	 	    0.18182 
max  eCDF diff........    0.48601 	 	    0.27273 

var ratio (Tr/Co).....     1.6297 	 	     2.9547 
T-test p-value........   0.060099 	 	    0.18696 
KS Bootstrap p-value..      0.016 	 	      0.573 
KS Naive p-value......   0.051894 	 	    0.80792 
KS Statistic..........    0.48601 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     37.361 
std mean diff.........     -19.07 	 	     -23.66 

mean raw eQQ diff.....      5.376 	 	     7.1041 
med  raw eQQ diff.....     3.0065 	 	     5.4441 
max  raw eQQ diff.....     17.833 	 	     26.769 

mean eCDF diff........   0.075895 	 	   0.095455 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.58852 
T-test p-value........    0.60667 	 	    0.21825 
KS Bootstrap p-value..      0.581 	 	      0.744 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........      28.12 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.073427 	 	   0.045455 
med  eCDF diff........   0.073427 	 	   0.045455 
max  eCDF diff........    0.14685 	 	   0.090909 

var ratio (Tr/Co).....     1.2311 	 	     1.0714 
T-test p-value........    0.43202 	 	    0.66138 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	     15.909 
std mean diff.........     13.778 	 	     11.344 

mean raw eQQ diff.....     4.8182 	 	     2.8182 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....         13 	 	          6 

mean eCDF diff........   0.092885 	 	   0.080214 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.3552 
T-test p-value........    0.69251 	 	    0.44077 
KS Bootstrap p-value..       0.81 	 	      0.967 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.54545 
std mean diff.........     116.69 	 	      67.42 

mean raw eQQ diff.....    0.45455 	 	    0.27273 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.23601 	 	    0.13636 
med  eCDF diff........    0.23601 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....    0.69519 	 	        0.6 
T-test p-value........  0.0057476 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........    0.35748 	 	    0.38142 
std mean diff.........     26.759 	 	     23.837 

mean raw eQQ diff.....    0.24922 	 	    0.25223 
med  raw eQQ diff.....   0.069814 	 	   0.073221 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.085459 	 	    0.08658 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.27273 

var ratio (Tr/Co).....     12.129 	 	     10.083 
T-test p-value........    0.40213 	 	     0.3197 
KS Bootstrap p-value..      0.747 	 	      0.749 
KS Naive p-value......    0.88563 	 	    0.80792 
KS Statistic..........    0.20979 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........    0.53846 	 	    0.47727 
std mean diff.........     35.432 	 	     53.405 

mean raw eQQ diff.....    0.11364 	 	    0.18182 
med  raw eQQ diff.....          0 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.096503 	 	    0.14545 
med  eCDF diff........    0.12238 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.68804 	 	    0.56354 
T-test p-value........    0.36485 	 	    0.14901 
KS Bootstrap p-value..      0.604 	 	      0.517 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.34615 	 	    0.45455 
std mean diff.........     38.163 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.09965 	 	   0.045455 
med  eCDF diff........    0.09965 	 	   0.045455 
max  eCDF diff........     0.1993 	 	   0.090909 

var ratio (Tr/Co).....     1.1586 	 	          1 
T-test p-value........    0.29322 	 	    0.31895 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     10.273 	 	     10.273 
mean control..........     7.0385 	 	     8.9091 
std mean diff.........     34.791 	 	     14.669 

mean raw eQQ diff.....     4.7273 	 	     4.0909 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....         14 	 	         12 

mean eCDF diff........    0.12281 	 	   0.098485 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.28671 	 	    0.27273 

var ratio (Tr/Co).....     1.5014 	 	     1.1181 
T-test p-value........    0.32334 	 	    0.52179 
KS Bootstrap p-value..      0.349 	 	      0.666 
KS Naive p-value......    0.54882 	 	    0.80792 
KS Statistic..........    0.28671 	 	    0.27273 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.11579 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.36977 
std mean diff.........     82.298 	 	     55.744 

mean raw eQQ diff.....    0.29281 	 	    0.20421 
med  raw eQQ diff.....    0.28571 	 	    0.16667 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.13636 
med  eCDF diff........    0.29545 	 	    0.13636 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.5606 
T-test p-value........   0.027692 	 	    0.11579 
KS Bootstrap p-value..      0.059 	 	        0.7 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2477 
std mean diff.........    -95.918 	 	    -67.453 

mean raw eQQ diff.....    0.94073 	 	    0.72178 
med  raw eQQ diff.....    0.59918 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.13636 
med  eCDF diff........    0.19755 	 	    0.13636 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2092 
T-test p-value........   0.020711 	 	      0.155 
KS Bootstrap p-value..      0.274 	 	       0.74 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.22483 
std mean diff.........      25.91 	 	     19.514 

mean raw eQQ diff.....    0.11912 	 	    0.09027 
med  raw eQQ diff.....   0.029762 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.067722 	 	   0.075758 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     1.8037 
T-test p-value........    0.43589 	 	    0.36772 
KS Bootstrap p-value..      0.685 	 	      0.942 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.36429 
std mean diff.........     33.031 	 	     14.175 

mean raw eQQ diff.....     0.1013 	 	   0.050397 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.16361 	 	    0.09596 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.79743 
T-test p-value........    0.37519 	 	    0.76492 
KS Bootstrap p-value..      0.043 	 	      0.727 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4298 
std mean diff.........    -46.278 	 	     20.582 

mean raw eQQ diff.....    0.70566 	 	    0.42987 
med  raw eQQ diff.....    0.52495 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.19048 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.42663 
T-test p-value........    0.36007 	 	    0.73485 
KS Bootstrap p-value..       0.11 	 	       0.17 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.24776 
std mean diff.........     9.7302 	 	    -3.3589 

mean raw eQQ diff.....   0.053602 	 	    0.07592 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.066434 	 	    0.10101 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.61335 
T-test p-value........    0.79027 	 	    0.92695 
KS Bootstrap p-value..      0.843 	 	      0.715 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11579 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.36977  0.57398  0.20421          0.13362  0.61545  1.52834          
ave.log.duration.prev5         2.24773  1.52595  -0.72178         0.51723  -0.70576 -1.39549         
ave.outcome.prev5              0.22483  0.30270  0.07787          0.08582  0.22135  0.90739          
ForceUS.prop.prev10            0.36429  0.39650  0.03222          0.10528  0.13352  0.30599          
ave.log.duration.prev10        2.42982  2.53860  0.10878          0.31406  0.15917  0.34638          
ave.outcome.prev10             0.24776  0.24099  -0.00676         0.07197  -0.02929 -0.09398         
---Overall Test---
      chisquare df p.value
strat      7.25  6   0.299
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     15 
$p.values
ForceUS     NPC 
  0.578   0.578 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2214195 80.5400939  0.0279935 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2247704 75.7479568  0.1348485 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 23.359762   2.168301   3.477289 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.4025819  2.2155688  0.9455072 

Closed Testing
Intersection 1 of 7 

*** primary full.covs TRUE ***


Wed Apr 22 03:45:55 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.742718e-02  9.985084e-02  1.257605e-01  2.058362e-01  2.648381e-01  2.978365e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.243852e-01  3.963158e-01  4.390112e-01  4.563712e-01  4.610718e-01  4.610718e-01  4.820797e-01  5.141856e-01  5.706690e-01  5.706690e-01  7.008510e-01  7.527099e-01  7.762060e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.133677e-01  8.868177e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.742718e-02  9.985084e-02  1.257605e-01  2.058362e-01  2.648381e-01  2.978365e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.243852e-01  3.963158e-01  4.390112e-01  4.563712e-01  4.610718e-01  4.610718e-01  4.820797e-01  5.141856e-01  5.706690e-01  5.706690e-01  7.008510e-01  7.527099e-01  7.762060e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.133677e-01  8.868177e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.114833e+02
 X[ 2] :	1.079476e+02
 X[ 3] :	8.647748e+02
 X[ 4] :	6.006509e+02
 X[ 5] :	6.712730e+02
 X[ 6] :	4.052203e+02
 X[ 7] :	8.813011e+02
 X[ 8] :	9.988081e+02
 X[ 9] :	9.937635e+02
 X[10] :	4.450064e+02
 X[11] :	4.481277e+02
 X[12] :	1.489856e+02
 X[13] :	8.395014e+02
 X[14] :	1.666935e+02
 X[15] :	6.779548e+02
 X[16] :	8.325671e+02
 X[17] :	3.829522e+01
 X[18] :	4.125471e+02
 X[19] :	4.708963e+02
 X[20] :	1.752540e+02
 X[21] :	6.480959e+01
 X[22] :	5.596900e+02
 X[23] :	4.902794e+02
 X[24] :	1.142745e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 22 04:07:04 2015
Total run time : 0 hours 21 minutes and 9 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7       Kennedy         9          3
10     Clinton        24         10         Obama         4          3
11 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1895.7 	 	     1895.7 
mean control..........     1910.7 	 	     1904.3 
std mean diff.........    -19.881 	 	    -11.353 

mean raw eQQ diff.....     25.455 	 	         14 
med  raw eQQ diff.....         30 	 	         12 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.14855 	 	   0.066986 
med  eCDF diff........    0.13287 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     2.1777 	 	     1.2401 
T-test p-value........    0.55587 	 	    0.32439 
KS Bootstrap p-value..      0.141 	 	      0.974 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.45455 
std mean diff.........    -19.405 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	    0.93333 
T-test p-value........    0.59663 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8921 	 	     1.8921 
mean control..........     1.9369 	 	      2.117 
std mean diff.........    -3.6873 	 	    -18.488 

mean raw eQQ diff.....    0.11593 	 	     0.5335 
med  raw eQQ diff.....   0.087011 	 	    0.37469 
max  raw eQQ diff.....    0.28768 	 	     1.3863 

mean eCDF diff........   0.057609 	 	    0.13636 
med  eCDF diff........   0.052448 	 	    0.13636 
max  eCDF diff........    0.14336 	 	    0.27273 

var ratio (Tr/Co).....     1.2747 	 	     2.1995 
T-test p-value........    0.91685 	 	    0.51419 
KS Bootstrap p-value..       0.94 	 	      0.663 
KS Naive p-value......    0.99733 	 	    0.80792 
KS Statistic..........    0.14336 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.7273 	 	     7.7273 
mean control..........     7.4615 	 	     9.0909 
std mean diff.........     3.8033 	 	    -19.517 

mean raw eQQ diff.....     1.3636 	 	     1.7273 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.074126 	 	    0.10303 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....     1.5096 	 	     1.0973 
T-test p-value........    0.91263 	 	    0.29784 
KS Bootstrap p-value..       0.51 	 	      0.739 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6512 	 	     5.6512 
mean control..........     5.0366 	 	     5.0202 
std mean diff.........     25.199 	 	      25.87 

mean raw eQQ diff.....     1.3179 	 	      1.518 
med  raw eQQ diff.....    0.77207 	 	     1.0486 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.11713 	 	     0.1405 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........     0.3007 	 	    0.36364 

var ratio (Tr/Co).....     1.0183 	 	     0.6661 
T-test p-value........    0.49102 	 	    0.45637 
KS Bootstrap p-value..      0.289 	 	      0.304 
KS Naive p-value......    0.48681 	 	    0.46107 
KS Statistic..........     0.3007 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42741 
std mean diff.........     82.298 	 	     40.012 

mean raw eQQ diff.....    0.29281 	 	    0.14658 
med  raw eQQ diff.....    0.28571 	 	    0.10931 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.13636 
med  eCDF diff........    0.29545 	 	    0.13636 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.0646 
T-test p-value........   0.027692 	 	   0.099851 
KS Bootstrap p-value..      0.055 	 	      0.659 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2411 
std mean diff.........    -95.918 	 	    -66.832 

mean raw eQQ diff.....    0.94073 	 	    0.71513 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.11765 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2631 
T-test p-value........   0.020711 	 	   0.097427 
KS Bootstrap p-value..      0.281 	 	      0.724 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.19799 
std mean diff.........      25.91 	 	     26.239 

mean raw eQQ diff.....    0.11912 	 	    0.10471 
med  raw eQQ diff.....   0.029762 	 	   0.045238 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.090909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.0998 
T-test p-value........    0.43589 	 	    0.12576 
KS Bootstrap p-value..      0.701 	 	      0.945 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.41793 
std mean diff.........     33.031 	 	    -9.4301 

mean raw eQQ diff.....     0.1013 	 	   0.094393 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	   0.090909 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.49307 
T-test p-value........    0.37519 	 	    0.75271 
KS Bootstrap p-value..      0.049 	 	      0.733 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4691 
std mean diff.........    -46.278 	 	     13.159 

mean raw eQQ diff.....    0.70566 	 	    0.40828 
med  raw eQQ diff.....    0.52495 	 	    0.21096 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.21212 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.38451 
T-test p-value........    0.36007 	 	    0.77621 
KS Bootstrap p-value..      0.104 	 	      0.174 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25668 
std mean diff.........     9.7302 	 	    -7.7905 

mean raw eQQ diff.....   0.053602 	 	   0.092971 
med  raw eQQ diff.....   0.045455 	 	   0.079487 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.11364 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.51454 
T-test p-value........    0.79027 	 	    0.70085 
KS Bootstrap p-value..      0.797 	 	       0.74 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........    0.15385 	 	   0.090909 
std mean diff.........    -20.874 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.031469 	 	          0 
med  eCDF diff........   0.031469 	 	          0 
max  eCDF diff........   0.062937 	 	          0 

var ratio (Tr/Co).....    0.67149 	 	          1 
T-test p-value........    0.59288 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.2941 	 	    -4.2941 
mean control..........    -2.4599 	 	    -3.7792 
std mean diff.........    -68.646 	 	    -19.272 

mean raw eQQ diff.....     1.7435 	 	     1.0399 
med  raw eQQ diff.....     1.2586 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.18986 	 	   0.070707 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.48601 	 	    0.18182 

var ratio (Tr/Co).....     1.6297 	 	     4.5259 
T-test p-value........   0.060099 	 	    0.48208 
KS Bootstrap p-value..      0.016 	 	      0.921 
KS Naive p-value......   0.051894 	 	    0.99336 
KS Statistic..........    0.48601 	 	    0.18182 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.942 	 	     32.942 
mean control..........     36.504 	 	     33.697 
std mean diff.........     -19.07 	 	     -4.042 

mean raw eQQ diff.....      5.376 	 	     4.9956 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     17.833 	 	         19 

mean eCDF diff........   0.075895 	 	   0.096591 
med  eCDF diff........   0.062937 	 	   0.090909 
max  eCDF diff........    0.24126 	 	    0.27273 

var ratio (Tr/Co).....    0.91704 	 	    0.77591 
T-test p-value........    0.60667 	 	    0.81337 
KS Bootstrap p-value..      0.581 	 	      0.737 
KS Naive p-value......     0.7592 	 	    0.80792 
KS Statistic..........    0.24126 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.30769 	 	    0.45455 
std mean diff.........      28.12 	 	          0 

mean raw eQQ diff.....    0.18182 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.073427 	 	          0 
med  eCDF diff........   0.073427 	 	          0 
max  eCDF diff........    0.14685 	 	          0 

var ratio (Tr/Co).....     1.2311 	 	          1 
T-test p-value........    0.43202 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     17.636 	 	     17.636 
mean control..........     15.538 	 	         16 
std mean diff.........     13.778 	 	     10.747 

mean raw eQQ diff.....     4.8182 	 	     2.9091 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....         13 	 	          6 

mean eCDF diff........   0.092885 	 	   0.090909 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.4695 	 	     1.4491 
T-test p-value........    0.69251 	 	    0.39632 
KS Bootstrap p-value..       0.81 	 	      0.967 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.81818 	 	    0.81818 
mean control..........    0.34615 	 	    0.81818 
std mean diff.........     116.69 	 	          0 

mean raw eQQ diff.....    0.45455 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.23601 	 	          0 
med  eCDF diff........    0.23601 	 	          0 
max  eCDF diff........    0.47203 	 	          0 

var ratio (Tr/Co).....    0.69519 	 	          1 
T-test p-value........  0.0057476 	 	          1 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57679 	 	    0.57679 
mean control..........    0.35748 	 	    0.31393 
std mean diff.........     26.759 	 	     32.072 

mean raw eQQ diff.....    0.24922 	 	    0.27689 
med  raw eQQ diff.....   0.069814 	 	   0.061581 
max  raw eQQ diff.....     2.0547 	 	     2.1983 

mean eCDF diff........   0.085459 	 	    0.12121 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.36364 

var ratio (Tr/Co).....     12.129 	 	     13.839 
T-test p-value........    0.40213 	 	    0.26484 
KS Bootstrap p-value..      0.747 	 	        0.4 
KS Naive p-value......    0.88563 	 	    0.46107 
KS Statistic..........    0.20979 	 	    0.36364 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.65909 	 	    0.65909 
mean control..........    0.53846 	 	    0.63636 
std mean diff.........     35.432 	 	     6.6756 

mean raw eQQ diff.....    0.11364 	 	    0.11364 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.096503 	 	   0.090909 
med  eCDF diff........    0.12238 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.68804 	 	    0.56667 
T-test p-value........    0.36485 	 	    0.88682 
KS Bootstrap p-value..      0.604 	 	      0.804 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.34615 	 	    0.45455 
std mean diff.........     38.163 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.09965 	 	   0.045455 
med  eCDF diff........    0.09965 	 	   0.045455 
max  eCDF diff........     0.1993 	 	   0.090909 

var ratio (Tr/Co).....     1.1586 	 	          1 
T-test p-value........    0.29322 	 	    0.57067 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     10.273 	 	     10.273 
mean control..........     7.0385 	 	     8.3636 
std mean diff.........     34.791 	 	     20.536 

mean raw eQQ diff.....     4.7273 	 	     4.0909 
med  raw eQQ diff.....          2 	 	          1 
max  raw eQQ diff.....         14 	 	         14 

mean eCDF diff........    0.12281 	 	   0.090909 
med  eCDF diff........   0.094406 	 	   0.090909 
max  eCDF diff........    0.28671 	 	    0.27273 

var ratio (Tr/Co).....     1.5014 	 	     1.1244 
T-test p-value........    0.32334 	 	    0.43901 
KS Bootstrap p-value..      0.349 	 	      0.663 
KS Naive p-value......    0.54882 	 	    0.80792 
KS Statistic..........    0.28671 	 	    0.27273 


Before Matching Minimum p.value: 0.0057476 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.097427 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57398 	 	    0.57398 
mean control..........     0.2725 	 	    0.42741 
std mean diff.........     82.298 	 	     40.012 

mean raw eQQ diff.....    0.29281 	 	    0.14658 
med  raw eQQ diff.....    0.28571 	 	    0.10931 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28438 	 	    0.13636 
med  eCDF diff........    0.29545 	 	    0.13636 
max  eCDF diff........    0.43357 	 	    0.27273 

var ratio (Tr/Co).....      1.613 	 	     1.0646 
T-test p-value........   0.027692 	 	   0.099851 
KS Bootstrap p-value..      0.059 	 	      0.678 
KS Naive p-value......    0.10936 	 	    0.80792 
KS Statistic..........    0.43357 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5259 	 	     1.5259 
mean control..........     2.5523 	 	     2.2411 
std mean diff.........    -95.918 	 	    -66.832 

mean raw eQQ diff.....    0.94073 	 	    0.71513 
med  raw eQQ diff.....    0.59918 	 	     0.4233 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.18943 	 	    0.11765 
med  eCDF diff........    0.19755 	 	   0.090909 
max  eCDF diff........    0.31818 	 	    0.27273 

var ratio (Tr/Co).....     0.6594 	 	     1.2631 
T-test p-value........   0.020711 	 	   0.097427 
KS Bootstrap p-value..      0.274 	 	      0.738 
KS Naive p-value......    0.41431 	 	    0.80792 
KS Statistic..........    0.31818 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3027 	 	     0.3027 
mean control..........     0.1993 	 	    0.19799 
std mean diff.........      25.91 	 	     26.239 

mean raw eQQ diff.....    0.11912 	 	    0.10471 
med  raw eQQ diff.....   0.029762 	 	   0.045238 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.067722 	 	   0.090909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.9753 	 	     2.0998 
T-test p-value........    0.43589 	 	    0.12576 
KS Bootstrap p-value..      0.685 	 	      0.931 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     0.3965 	 	     0.3965 
mean control..........    0.32143 	 	    0.41793 
std mean diff.........     33.031 	 	    -9.4301 

mean raw eQQ diff.....     0.1013 	 	   0.094393 
med  raw eQQ diff.....    0.10769 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.16361 	 	   0.090909 
med  eCDF diff........    0.14685 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....     0.9248 	 	    0.49307 
T-test p-value........    0.37519 	 	    0.75271 
KS Bootstrap p-value..      0.043 	 	      0.701 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5386 	 	     2.5386 
mean control..........     2.7832 	 	     2.4691 
std mean diff.........    -46.278 	 	     13.159 

mean raw eQQ diff.....    0.70566 	 	    0.40828 
med  raw eQQ diff.....    0.52495 	 	    0.21096 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.17473 	 	    0.21212 
med  eCDF diff........    0.16608 	 	    0.18182 
max  eCDF diff........     0.3951 	 	    0.45455 

var ratio (Tr/Co).....     0.2436 	 	    0.38451 
T-test p-value........    0.36007 	 	    0.77621 
KS Bootstrap p-value..       0.11 	 	      0.169 
KS Naive p-value......     0.1789 	 	    0.20584 
KS Statistic..........     0.3951 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24099 	 	    0.24099 
mean control..........     0.2214 	 	    0.25668 
std mean diff.........     9.7302 	 	    -7.7905 

mean raw eQQ diff.....   0.053602 	 	   0.092971 
med  raw eQQ diff.....   0.045455 	 	   0.079487 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.066434 	 	    0.11364 
med  eCDF diff........   0.052448 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.98043 	 	    0.51454 
T-test p-value........    0.79027 	 	    0.70085 
KS Bootstrap p-value..      0.843 	 	      0.713 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.020711 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.097427 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4274   0.5740   0.1466           0.0921   0.4063  1.5911         
ave.log.duration.prev5          2.2411   1.5259   -0.7151          0.4466   -0.7061 -1.6012        
ave.outcome.prev5               0.1980   0.3027   0.1047           0.0702   0.3054  1.4920         
ForceUS.prop.prev10             0.4179   0.3965   -0.0214          0.0665   -0.0766 -0.3223        
ave.log.duration.prev10         2.4691   2.5386   0.0695           0.2391   0.0981  0.2909         
ave.outcome.prev10              0.2567   0.2410   -0.0157          0.0400   -0.0642 -0.3926        
---Overall Test---
      chisquare df p.value
strat      6.19  6   0.402
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     21 
$p.values
ForceUS     NPC 
  0.513   0.513 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2149865 66.9706618 -0.0126010 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.13891185 64.45502755  0.02373737 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
22.0361197  1.4505055 -0.7394671 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9088101  1.4540340  0.3276109 

Closed Testing
Intersection 1 of 7 

*** South Coding: Truman in ***

Opening: CreateVars150407.R 

txt> #### RESPONSE VARIABLES
txt> ### (1) U.S. use of force in MID
txt>   summary(mid$ForceUS)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
 0.0000  0.0000  0.0000  0.3387  1.0000  1.0000       6 

txt> ### (2) Duration of MID (days, censored at end of originating president's term)
txt>   summary(mid$DurationUS <- mid$DaysInTrm1)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
    1.0     1.0    18.0   120.3   120.5  1794.0       6 

txt> ### (3) Outcome
txt>   mid$outcome <- ordered(mid$outcome, labels = c("US Loss", "Draw", "US Win"))

txt>   summary(mid$outcome)
US Loss    Draw  US Win    NA's 
     11     301      60       6 

txt>   mid$OutcomeUS <- as.numeric(mid$outcome) - 2

txt>   table(mid$outcome, mid$OutcomeUS)
         
           -1   0   1
  US Loss  11   0   0
  Draw      0 301   0
  US Win    0   0  60

txt> #### STRUCTURAL (PRE-PRESIDENCY) COVARIATES
txt>   mid <- mutate(mid, ongoing.mid = NA,
txt+                 great.power = as.integer(Era == "1897-1945" | Era == "post-1945"),
txt+                 super.power = as.integer(Era == "post-1945"))

txt> ### Ongoing MID
txt>   for (i in 1:nrow(mid)) {
txt+     last.leader <- as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1
txt+     mid$ongoing.mid[i] <- any(mid$spillover[last.leader] == 1, na.rm = TRUE)
txt+   }

txt>   mid$ongoing.mid <- as.integer(mid$ongoing.mid)

txt> ### Number of Americans killed in the last war before the president's
txt> ### (adjusted) term began:
txt>   mid$prev.war.dead <- round(exp(mid$lnprevdead), 0)

txt>   mid$prev.war.dead[mid$Leader == "HarrisonWH"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Polk"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Taylor"] <- 13283

txt>   mid$prev.war.dead[mid$Leader == "Lincoln"] <- 13283

txt>   mid$prev.war.dead[as.numeric(mid$Leader) >= 17 & as.numeric(mid$Leader) <= 24] <-
txt+     620000  ## Includes Confederate dead in Civil War

txt>   mid$prev.war.dead[mid$Leader == "JohnsonLB"] <- 36574

txt>   mid$prev.war.dead[mid$Leader == "Clinton" | mid$Leader=="BushGW"] <- 382

txt>   mid$prev.war.dead[mid$Leader == "Obama"] <- 4222

txt>   mid$log.prev.war.dead <- log(mid$prev.war.dead)

txt> ### Years since last war
txt>   mid$yrs.since.war <- rep(NA, nrow(mid))

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 4, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 5 &
txt+                                   as.numeric(mid$Leader) <= 11,
txt+                               mid$TermStartYear - 1815, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="HarrisonWH"] <- 1841 - 1815

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 12 &
txt+                                   as.numeric(mid$Leader) <= 16,
txt+                               mid$TermStartYear - 1848, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Taylor"] <- 1849 - 1848

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 17 &
txt+                                   as.numeric(mid$Leader) <= 24,
txt+                               mid$TermStartYear - 1865, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Garfield"] <- 1881 - 1865

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 25 &
txt+                                   as.numeric(mid$Leader) <= 27,
txt+                               mid$TermStartYear - 1898, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 28 &
txt+                                   as.numeric(mid$Leader) <= 31,
txt+                               mid$TermStartYear - 1918, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 32,
txt+                               mid$TermStartYear - 1945, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 33 &
txt+                                   as.numeric(mid$Leader) <= 35,
txt+                               mid$TermStartYear - 1953, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 36 &
txt+                                   as.numeric(mid$Leader) <= 40,
txt+                               mid$TermStartYear - 1973, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(mid$yrs.since.war < 0, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 41 &
txt+                                   as.numeric(mid$Leader) <= 42,
txt+                               mid$TermStartYear - 1991, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader %in% "Obama"] <- 0

txt>   mid$log.yrs.since.war <- log(mid$yrs.since.war + 1)

txt> ### Interaction of Log Years Since War and Log Deaths
txt>   mid$log.dead.x.log.years <- mid$log.prev.war.dead * mid$log.yrs.since.war

txt> ### Americans killed in last war, as percentage of U.S. population
txt>   ## U.S. population figures obtained from:
txt>   ## http://www.census.gov/population/www/cen2000/maps/respop.html
txt>   us.pop <- data.frame(matrix(, ncol = 2, byrow = TRUE, data =
txt+                                   c(2000, 281421906,
txt+                                     1990, 248709873,
txt+                                     1980, 226542199,
txt+                                     1970, 203302031,
txt+                                     1960, 179323175,
txt+                                     1950, 151325798,
txt+                                     1940, 132164569,
txt+                                     1930, 123202624,
txt+                                     1920, 106021537,
txt+                                     1910, 92228496,
txt+                                     1900, 76212168,
txt+                                     1890, 62979766,
txt+                                     1880, 50189209,
txt+                                     1870, 38558371,
txt+                                     1860, 31443321,
txt+                                     1850, 23191876,
txt+                                     1840, 17063353,
txt+                                     1830, 12860702,
txt+                                     1820, 9638453,
txt+                                     1810, 7239881,
txt+                                     1800, 5308483,
txt+                                     1790, 3929214)))

txt>   mid$prev.war.dead.pct <- rep(NA, nrow(mid))

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2260,
txt+                                   (2260 / 7239881) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 13283,
txt+                                   (13283 / 23191876) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 620000,
txt+                                   (620000 / 31443321) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2446,
txt+                                   (2446 / 76212168) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 116516,
txt+                                   (116516 / 106021537) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 405399,
txt+                                   (405399 / 132164569) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 36574,
txt+                                   (36574 / 151325798) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 58209,
txt+                                   (58209 / 203302031) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 382,
txt+                                   (382 / 248709873) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 4222,
txt+                                   (4222 / 281421906) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   ##
txt> ### Log Previous War Dead Percent (to deal with skew)
txt>   mid$log.war.dead.pct <- log(mid$prev.war.dead.pct)

txt>   ##
txt> ### Interaction of Log Previous War Dead Percent and Log Years Since
txt> ### War
txt>   mid$log.prv.dead.pct.x.log.yrs <- mid$log.war.dead.pct * mid$log.yrs.since.war

txt> ### Ongoing War
txt>   mid$ongoing.war <- as.integer(mid$yrs.since.war == 0 & mid$Pres1 != "JohnsonA")

txt>   ## Note: Lee's surrender at Appomatox occurred about a
txt>   ## week before Andrew Johnson ascended to the presidency, so he is
txt>   ## coded as having come into office without a war ongoing.
txt>   ## Also: Even though the War of 1812 began in his presidency, Madison
txt>   ## is coded as mid$ongoing.war = 1 because war was ongoing at the point
txt>   ## when the MID data begin (1816).
txt>   ##
txt> ### Elite Veteran (imputed)
txt>   ## Impute an elite veteran percentage of 40 (should be approximately
txt>   ## right) for Clinton and BushGW, for whom the data are missing.
txt>   mid$elitevet.imput <- ifelse(mid$Leader %in% c("Clinton", "BushGW", "Obama"),
txt+                                40, mid$elitevet)

txt> ### Lagged value of treatment (South1)
txt>   mid$South1.prev <- NA

txt>   for (i in 1:nrow(mid)){
txt+     mid$South1.prev[i] <-
txt+       mid$South1[as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1][1]
txt+   }

txt> ### Number of non-fishing MIDs in previous ten (five) years
txt>   mid$nMIDs.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*10)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   mid$nMIDs.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*5)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of MIDs in
txt>   ## the ten years AFTER the end of Monroe's term, which is 2.
txt>   mid$nMIDs.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*10)
txt+         & mid$nonfishing, na.rm = TRUE)

txt>   ## Same for 5 years
txt>   mid$nMIDs.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*5)
txt+         & mid$nonfishing, na.rm = TRUE)

txt> ### Uses of Force in previous 5 and 10 years
txt>   mid$ForceUS.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     (term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1])
txt+     mid$ForceUS.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*5) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   mid$ForceUS.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$ForceUS.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*10) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of uses of
txt>   ## Force in the ten years AFTER the end of Monroe's term, which is
txt>   ## 1. This actually only changes Madison's value, which was 0
txt>   ## (Monroe's was already 1).
txt>   mid$ForceUS.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10*365)
txt+         & (mid$nonfishing & mid$ForceUS == 1), na.rm=TRUE)

txt>   mid$ForceUS.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5)
txt+         & mid$nonfishing & mid$ForceUS == 1, na.rm=TRUE)

txt> ### Uses of force per MID in last ten years
txt>   mid$ForceUS.prop.prev5 <- mid$ForceUS.prev5 / mid$nMIDs.prev5

txt>   mid$ForceUS.prop.prev10 <- mid$ForceUS.prev10 / mid$nMIDs.prev10

txt> ### Log Duration
txt>   mid$ave.log.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.log.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.log.duration.prev5[i] <-
txt+       mean(log(mid$DurationUS[pre5 & mid$nonfishing]), na.rm = TRUE)
txt+     mid$ave.log.duration.prev10[i] <-
txt+       mean(log(mid$DurationUS[pre10 & mid$nonfishing]), na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*10))

txt>   mid$ave.log.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.log.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Duration
txt>   mid$ave.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.duration.prev5[i] <-
txt+       mean(mid$DurationUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.duration.prev10[i] <-
txt+       mean(mid$DurationUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1] &
txt+                   mid$nonfishing & mid$StartDateUS <
txt+                       (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Outcome
txt>   mid$ave.outcome.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.outcome.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.outcome.prev5[i] <-
txt+       mean(mid$OutcomeUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.outcome.prev10[i] <-
txt+       mean(mid$OutcomeUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.outcome.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post5mm], na.rm = TRUE)

txt>   mid$ave.outcome.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post10mm], na.rm = TRUE)

txt> ### Party and military variables
txt>   mid <- mutate(mid,
txt+                 Dem = as.integer(Party1Factor == "Democratic"), 
txt+                 DemRep = as.integer(Party1Factor == "Democratic-Republican"),
txt+                 Repub = as.integer(Party1Factor == "Republican"),
txt+                 Whig = as.integer(Party1Factor == "Whig"),
txt+                 DemDR = Dem + DemRep,
txt+                 military.occupation = as.integer(MiltOcc == "yes"),
txt+                 military.experience = as.integer(MiltExp == "no"))

File name: NofishMIDs1-150422-a.pdf 


File name: NofishMIDs2-150422-a.pdf 

Source: local data frame [37 x 6]

       LeaderName    Region MIDs      Force  Duration     Outcome
1    Adams, J. Q. Non-South    1 1.00000000   1.00000  1.00000000
2          Arthur Non-South    2 0.00000000  27.00000  0.00000000
3        Buchanan Non-South    6 0.16666667  58.16667  0.00000000
4  Bush, G. H. W. Non-South    9 0.66666667  85.44444  0.11111111
5     Bush, G. W.     South   24 0.62500000  95.08333  0.08333333
6          Carter     South   12 0.16666667  56.58333 -0.08333333
7       Cleveland Non-South    9 0.22222222  28.22222  0.00000000
8         Clinton     South   26 0.34615385  93.38462  0.07692308
9        Coolidge Non-South    1 1.00000000 145.00000  1.00000000
10     Eisenhower Non-South   31 0.09677419 103.16129  0.00000000
..            ...       ...  ...        ...       ...         ...

File name: PresSummaryPrimary150422-a.pdf 


File name: PresSummaryBilateral150422-a.pdf 

Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, bilateral)

REML criterion at convergence: 261.4

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9259 -1.2302  0.4194  0.6427  1.1820 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.03451  0.1858  
 Residual             0.17186  0.4146  
Number of obs: 215, groups:  Leader, 35

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.75633    0.05806  13.027
South1      -0.11590    0.09509  -1.219

Correlation of Fixed Effects:
       (Intr)
South1 -0.611
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, primary)

REML criterion at convergence: 367.6

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8762 -1.2900  0.4560  0.7207  1.0707 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.02462  0.1569  
 Residual             0.18385  0.4288  
Number of obs: 296, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.75812    0.04964  15.272
South1      -0.12286    0.08295  -1.481

Correlation of Fixed Effects:
       (Intr)
South1 -0.598
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, nonfishing)

REML criterion at convergence: 426.2

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9146 -1.2890  0.4416  0.7326  1.0783 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.0225   0.1500  
 Residual             0.1801   0.4244  
Number of obs: 352, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.78149    0.04636  16.858
South1      -0.15018    0.07804  -1.924

Correlation of Fixed Effects:
       (Intr)
South1 -0.594

*** bilateral none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.2139406 51.5834825  0.1065676 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.022             0.032             0.104             0.033             0.040             0.104             0.017 

*** bilateral none FALSE harmonic ***

*** bilateral none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  22.99861    2.73036   11.17708 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.022             0.025             0.103             0.033             0.035             0.103             0.014 

*** bilateral none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  2.328901   1.930945   1.660499 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.018             0.031             0.052             0.018             0.031             0.052             0.008 

*** bilateral none TRUE mean ***

*** bilateral none TRUE harmonic ***

*** bilateral none TRUE rank ***

*** bilateral none TRUE hlm ***

*** bilateral log.placebo FALSE ***


Wed Apr 22 05:28:10 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.468604e-02  4.826044e-02  6.161193e-02  1.760394e-01  2.485482e-01  2.485482e-01  2.670529e-01  4.803880e-01  5.175508e-01  5.175508e-01  8.474885e-01  8.474885e-01  

      1 	4.106592e-02  4.558392e-02  4.970186e-02  6.630777e-02  2.485482e-01  2.647983e-01  4.092031e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  8.474885e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.106592e-02  4.558392e-02  4.970186e-02  6.630777e-02  2.485482e-01  2.647983e-01  4.092031e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  8.474885e-01  

Parameters at the Solution:

 X[ 1] :	7.825461e+02
 X[ 2] :	4.113838e-02
 X[ 3] :	8.210554e+02
 X[ 4] :	1.676978e+02
 X[ 5] :	9.671182e+01
 X[ 6] :	5.114555e+02

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 22 05:37:07 2015
Total run time : 0 hours 8 minutes and 57 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5      Van Buren         4          4
7       Wilson        15         13          Nixon        12          9
8       Truman         6          4 Bush, G. H. W.         8          5
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7           Ford         4          4
11     Clinton        24         10        Harding         1          1
12 Bush, G. W.        24         20       McKinley         3          1

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.36777 
std mean diff.........     93.462 	 	     52.274 

mean raw eQQ diff.....    0.32138 	 	    0.18616 
med  raw eQQ diff.....    0.27444 	 	   0.093074 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	       0.15 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.9653 
T-test p-value........   0.010188 	 	   0.049702 
KS Bootstrap p-value..      0.012 	 	      0.428 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.5285 
std mean diff.........    -106.48 	 	    -94.678 

mean raw eQQ diff.....     1.0986 	 	    0.97136 
med  raw eQQ diff.....    0.82975 	 	    0.79545 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	    0.18561 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	    0.76402 
T-test p-value........   0.012752 	 	   0.045584 
KS Bootstrap p-value..      0.106 	 	      0.449 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.16809 
std mean diff.........     32.426 	 	     32.226 

mean raw eQQ diff.....    0.11499 	 	    0.12327 
med  raw eQQ diff.....   0.047149 	 	    0.07177 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	     0.1369 
med  eCDF diff........   0.065217 	 	    0.16667 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.3011 
T-test p-value........    0.31442 	 	   0.066308 
KS Bootstrap p-value..      0.616 	 	      0.716 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	     0.3252 
std mean diff.........     45.889 	 	     28.957 

mean raw eQQ diff.....    0.12651 	 	   0.079931 
med  raw eQQ diff.....    0.11277 	 	   0.061869 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.12302 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.4633 
T-test p-value........    0.20051 	 	     0.2648 
KS Bootstrap p-value..      0.011 	 	      0.217 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.734 
std mean diff.........    -73.948 	 	    -41.502 

mean raw eQQ diff.....     0.6649 	 	    0.40145 
med  raw eQQ diff.....    0.51242 	 	    0.12372 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.13043 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.32619 
T-test p-value........    0.17165 	 	     0.4092 
KS Bootstrap p-value..      0.198 	 	      0.433 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17006 
std mean diff.........     19.981 	 	     30.154 

mean raw eQQ diff.....   0.054514 	 	   0.073071 
med  raw eQQ diff.....   0.052778 	 	   0.077244 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.13889 
med  eCDF diff........   0.083333 	 	      0.125 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.2741 
T-test p-value........    0.56362 	 	   0.041066 
KS Bootstrap p-value..      0.642 	 	      0.444 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.041066 
Variable Name(s): ave.outcome.prev10  Number(s): 6 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.36777 
std mean diff.........     93.462 	 	     52.274 

mean raw eQQ diff.....    0.32138 	 	    0.18616 
med  raw eQQ diff.....    0.27444 	 	   0.093074 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	       0.15 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.9653 
T-test p-value........   0.010188 	 	   0.049702 
KS Bootstrap p-value..      0.013 	 	      0.423 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.5285 
std mean diff.........    -106.48 	 	    -94.678 

mean raw eQQ diff.....     1.0986 	 	    0.97136 
med  raw eQQ diff.....    0.82975 	 	    0.79545 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	    0.18561 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	    0.76402 
T-test p-value........   0.012752 	 	   0.045584 
KS Bootstrap p-value..      0.112 	 	      0.465 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.16809 
std mean diff.........     32.426 	 	     32.226 

mean raw eQQ diff.....    0.11499 	 	    0.12327 
med  raw eQQ diff.....   0.047149 	 	    0.07177 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	     0.1369 
med  eCDF diff........   0.065217 	 	    0.16667 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.3011 
T-test p-value........    0.31442 	 	   0.066308 
KS Bootstrap p-value..      0.619 	 	      0.692 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	     0.3252 
std mean diff.........     45.889 	 	     28.957 

mean raw eQQ diff.....    0.12651 	 	   0.079931 
med  raw eQQ diff.....    0.11277 	 	   0.061869 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.12302 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.4633 
T-test p-value........    0.20051 	 	     0.2648 
KS Bootstrap p-value..      0.017 	 	      0.201 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.734 
std mean diff.........    -73.948 	 	    -41.502 

mean raw eQQ diff.....     0.6649 	 	    0.40145 
med  raw eQQ diff.....    0.51242 	 	    0.12372 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.13043 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.32619 
T-test p-value........    0.17165 	 	     0.4092 
KS Bootstrap p-value..      0.208 	 	      0.478 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17006 
std mean diff.........     19.981 	 	     30.154 

mean raw eQQ diff.....   0.054514 	 	   0.073071 
med  raw eQQ diff.....   0.052778 	 	   0.077244 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.13889 
med  eCDF diff........   0.083333 	 	      0.125 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.2741 
T-test p-value........    0.56362 	 	   0.041066 
KS Bootstrap p-value..      0.635 	 	      0.451 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.041066 
Variable Name(s): ave.outcome.prev10  Number(s): 6 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3678   0.5539   0.1862           0.1001   0.6018  1.8598  .      
ave.log.duration.prev5          2.5285   1.5572   -0.9714          0.5142   -0.8812 -1.8892 .      
ave.outcome.prev5               0.1681   0.2914   0.1233           0.0702   0.3805  1.7567  .      
ForceUS.prop.prev10             0.3252   0.3885   0.0633           0.0569   0.3156  1.1127         
ave.log.duration.prev10         2.7340   2.5238   -0.2102          0.2524   -0.2911 -0.8328        
ave.outcome.prev10              0.1701   0.2292   0.0592           0.0308   0.3192  1.9237  .      
---Overall Test---
      chisquare df p.value
strat      8.73  6   0.189
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     32 
$p.values
ForceUS     NPC 
  0.254   0.254 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.16233766 37.59740260  0.06818182 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1588497 36.3465558  0.1193147 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 11.688312   2.042405   4.865260 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.3786014  1.0411254  0.9906935 

Closed Testing
Intersection 1 of 7 

*** bilateral log.placebo TRUE ***


Wed Apr 22 06:18:24 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.345967e-02  7.242843e-02  2.485482e-01  2.485482e-01  2.614261e-01  3.860599e-01  5.175508e-01  5.686274e-01  6.445245e-01  8.474885e-01  8.474885e-01  9.962552e-01  

      1 	7.112472e-02  7.711290e-02  8.738730e-02  9.956185e-02  1.692791e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.485482e-01  3.199381e-01  4.549448e-01  5.175508e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.112472e-02  7.711290e-02  8.738730e-02  9.956185e-02  1.692791e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.485482e-01  3.199381e-01  4.549448e-01  5.175508e-01  

Parameters at the Solution:

 X[ 1] :	7.156099e+02
 X[ 2] :	9.103510e+02
 X[ 3] :	3.106997e+02
 X[ 4] :	1.012773e+02
 X[ 5] :	5.669031e+01
 X[ 6] :	2.216832e+01

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 22 06:27:40 2015
Total run time : 0 hours 9 minutes and 16 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Obama         4          3
2       Monroe         6          6          Obama         4          3
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5          Grant         7          6
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4          Nixon        12          9
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7  Roosevelt, F.        10          8
11     Clinton        24         10          Obama         4          3
12 Bush, G. W.        24         20          Nixon        12          9

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.44583 
std mean diff.........     93.462 	 	     30.353 

mean raw eQQ diff.....    0.32138 	 	    0.11841 
med  raw eQQ diff.....    0.27444 	 	   0.040476 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.33802 	 	   0.069444 
med  eCDF diff........    0.33333 	 	   0.041667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.5434 
T-test p-value........   0.010188 	 	   0.071125 
KS Bootstrap p-value..      0.012 	 	      0.377 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0455 
std mean diff.........    -106.48 	 	    -47.598 

mean raw eQQ diff.....     1.0986 	 	    0.59392 
med  raw eQQ diff.....    0.82975 	 	    0.38736 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.21422 	 	    0.15104 
med  eCDF diff........    0.21196 	 	      0.125 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	     6.2982 
T-test p-value........   0.012752 	 	   0.077113 
KS Bootstrap p-value..      0.106 	 	      0.181 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	   0.083929 
std mean diff.........     32.426 	 	     54.229 

mean raw eQQ diff.....    0.11499 	 	    0.20743 
med  raw eQQ diff.....   0.047149 	 	   0.095238 
max  raw eQQ diff.....        0.5 	 	       0.85 

mean eCDF diff........   0.082952 	 	    0.23485 
med  eCDF diff........   0.065217 	 	       0.25 
max  eCDF diff........    0.20652 	 	    0.41667 

var ratio (Tr/Co).....      3.204 	 	     5.6492 
T-test p-value........    0.31442 	 	   0.087387 
KS Bootstrap p-value..      0.616 	 	      0.164 
KS Naive p-value......    0.88967 	 	    0.24855 
KS Statistic..........    0.20652 	 	    0.41667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.35664 
std mean diff.........     45.889 	 	     14.567 

mean raw eQQ diff.....    0.12651 	 	    0.09204 
med  raw eQQ diff.....    0.11277 	 	   0.065079 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	    0.13542 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.9633 
T-test p-value........    0.20051 	 	    0.45494 
KS Bootstrap p-value..      0.011 	 	      0.214 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.406 
std mean diff.........    -73.948 	 	     23.264 

mean raw eQQ diff.....     0.6649 	 	    0.22244 
med  raw eQQ diff.....    0.51242 	 	   0.098388 
max  raw eQQ diff.....     1.8581 	 	    0.59965 

mean eCDF diff........    0.15558 	 	    0.11275 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     1.5609 
T-test p-value........    0.17165 	 	    0.31994 
KS Bootstrap p-value..      0.198 	 	      0.176 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.12772 
std mean diff.........     19.981 	 	     51.728 

mean raw eQQ diff.....   0.054514 	 	    0.10152 
med  raw eQQ diff.....   0.052778 	 	        0.1 
max  raw eQQ diff.....    0.11538 	 	        0.2 

mean eCDF diff........   0.092305 	 	    0.23214 
med  eCDF diff........   0.083333 	 	       0.25 
max  eCDF diff........    0.22101 	 	        0.5 

var ratio (Tr/Co).....     1.3427 	 	     1.4157 
T-test p-value........    0.56362 	 	    0.16928 
KS Bootstrap p-value..      0.642 	 	      0.072 
KS Naive p-value......    0.83583 	 	   0.099562 
KS Statistic..........    0.22101 	 	        0.5 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.071125 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.44583 
std mean diff.........     93.462 	 	     30.353 

mean raw eQQ diff.....    0.32138 	 	    0.11841 
med  raw eQQ diff.....    0.27444 	 	   0.040476 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.33802 	 	   0.069444 
med  eCDF diff........    0.33333 	 	   0.041667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.5434 
T-test p-value........   0.010188 	 	   0.071125 
KS Bootstrap p-value..      0.013 	 	      0.387 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0455 
std mean diff.........    -106.48 	 	    -47.598 

mean raw eQQ diff.....     1.0986 	 	    0.59392 
med  raw eQQ diff.....    0.82975 	 	    0.38736 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.21422 	 	    0.15104 
med  eCDF diff........    0.21196 	 	      0.125 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	     6.2982 
T-test p-value........   0.012752 	 	   0.077113 
KS Bootstrap p-value..      0.112 	 	      0.175 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	   0.083929 
std mean diff.........     32.426 	 	     54.229 

mean raw eQQ diff.....    0.11499 	 	    0.20743 
med  raw eQQ diff.....   0.047149 	 	   0.095238 
max  raw eQQ diff.....        0.5 	 	       0.85 

mean eCDF diff........   0.082952 	 	    0.23485 
med  eCDF diff........   0.065217 	 	       0.25 
max  eCDF diff........    0.20652 	 	    0.41667 

var ratio (Tr/Co).....      3.204 	 	     5.6492 
T-test p-value........    0.31442 	 	   0.087387 
KS Bootstrap p-value..      0.619 	 	      0.156 
KS Naive p-value......    0.88967 	 	    0.24855 
KS Statistic..........    0.20652 	 	    0.41667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.35664 
std mean diff.........     45.889 	 	     14.567 

mean raw eQQ diff.....    0.12651 	 	    0.09204 
med  raw eQQ diff.....    0.11277 	 	   0.065079 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	    0.13542 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.9633 
T-test p-value........    0.20051 	 	    0.45494 
KS Bootstrap p-value..      0.017 	 	      0.184 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.406 
std mean diff.........    -73.948 	 	     23.264 

mean raw eQQ diff.....     0.6649 	 	    0.22244 
med  raw eQQ diff.....    0.51242 	 	   0.098388 
max  raw eQQ diff.....     1.8581 	 	    0.59965 

mean eCDF diff........    0.15558 	 	    0.11275 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     1.5609 
T-test p-value........    0.17165 	 	    0.31994 
KS Bootstrap p-value..      0.208 	 	      0.197 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.12772 
std mean diff.........     19.981 	 	     51.728 

mean raw eQQ diff.....   0.054514 	 	    0.10152 
med  raw eQQ diff.....   0.052778 	 	        0.1 
max  raw eQQ diff.....    0.11538 	 	        0.2 

mean eCDF diff........   0.092305 	 	    0.23214 
med  eCDF diff........   0.083333 	 	       0.25 
max  eCDF diff........    0.22101 	 	        0.5 

var ratio (Tr/Co).....     1.3427 	 	     1.4157 
T-test p-value........    0.56362 	 	    0.16928 
KS Bootstrap p-value..      0.635 	 	      0.074 
KS Naive p-value......    0.83583 	 	   0.099562 
KS Statistic..........    0.22101 	 	        0.5 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.071125 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4458   0.5539   0.1081           0.0625   0.3637  1.7303  .      
ave.log.duration.prev5          2.0455   1.5572   -0.4883          0.2874   -0.6253 -1.6993 .      
ave.outcome.prev5               0.0839   0.2914   0.2074           0.1257   0.7069  1.6498  .      
ForceUS.prop.prev10             0.3566   0.3885   0.0318           0.0421   0.1677  0.7559         
ave.log.duration.prev10         2.4060   2.5238   0.1178           0.1181   0.2569  0.9975         
ave.outcome.prev10              0.1277   0.2292   0.1015           0.0750   0.5600  1.3541         
---Overall Test---
      chisquare df p.value
strat       7.6  6   0.269
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.686   0.686 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.0856274 38.4034891  0.1509283 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1070971 45.8677198  0.2557234 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  6.807378   1.894820  11.858835 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.7780121  1.0293408  1.6764112 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs FALSE ***


Wed Apr 22 07:08:38 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.186800e-01  3.186800e-01  5.360978e-01  5.717156e-01  8.263722e-01  8.474885e-01  8.817442e-01  9.341056e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.186800e-01  3.186800e-01  5.360978e-01  6.566808e-01  6.914536e-01  7.000725e-01  7.317646e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.186800e-01  3.186800e-01  5.360978e-01  6.620420e-01  6.791759e-01  7.000725e-01  7.284100e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	3.186800e-01  3.186800e-01  5.360978e-01  6.708340e-01  6.757321e-01  7.000725e-01  7.333959e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      9 	5.360978e-01  5.700023e-01  5.700023e-01  5.784096e-01  7.402088e-01  7.929354e-01  8.474885e-01  8.834435e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.360978e-01  5.700023e-01  5.700023e-01  5.784096e-01  7.402088e-01  7.929354e-01  8.474885e-01  8.834435e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.950196e+02
 X[ 2] :	1.048275e+01
 X[ 3] :	9.510900e+00
 X[ 4] :	1.022915e+02
 X[ 5] :	4.022799e+02
 X[ 6] :	9.925050e+01
 X[ 7] :	8.335312e+02

Solution Found Generation 9
Number of Generations Run 20

Wed Apr 22 07:18:31 2015
Total run time : 0 hours 9 minutes and 53 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Fillmore         3          3
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4      Cleveland         9          6
4        Tyler         2          2         Arthur         2          1
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Pierce         7          7
7       Wilson        15         13         Reagan        33         24
8       Truman         6          4     Eisenhower        28         18
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7       Coolidge         1          1
11     Clinton        24         10  Roosevelt, T.         9          7
12 Bush, G. W.        24         20          Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	        0.5 
std mean diff.........    -12.488 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.032609 	 	          0 
med  eCDF diff........   0.032609 	 	          0 
max  eCDF diff........   0.065217 	 	          0 

var ratio (Tr/Co).....     1.0615 	 	          1 
T-test p-value........    0.72657 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.33333 
std mean diff.........     21.813 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.056159 	 	   0.041667 
med  eCDF diff........   0.056159 	 	   0.041667 
max  eCDF diff........    0.11232 	 	   0.083333 

var ratio (Tr/Co).....     1.1979 	 	     1.0938 
T-test p-value........    0.53517 	 	       0.57 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1907.6 
std mean diff.........    -16.807 	 	    -10.593 

mean raw eQQ diff.....     22.333 	 	     20.417 
med  raw eQQ diff.....         25 	 	         21 
max  raw eQQ diff.....         40 	 	         36 

mean eCDF diff........    0.13064 	 	    0.11806 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.8334 
T-test p-value........    0.60921 	 	    0.57841 
KS Bootstrap p-value..      0.115 	 	      0.449 
KS Naive p-value......    0.15042 	 	     0.5361 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.41667 
std mean diff.........    -11.962 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.030797 	 	          0 
med  eCDF diff........   0.030797 	 	          0 
max  eCDF diff........   0.061594 	 	          0 

var ratio (Tr/Co).....     1.0164 	 	          1 
T-test p-value........     0.7394 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.8101 
std mean diff.........    -18.944 	 	    -5.9058 

mean raw eQQ diff.....    0.27313 	 	    0.30182 
med  raw eQQ diff.....    0.12783 	 	    0.22599 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.071084 	 	   0.089286 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	    0.16667 

var ratio (Tr/Co).....     1.4627 	 	     1.4122 
T-test p-value........    0.57974 	 	    0.79294 
KS Bootstrap p-value..      0.713 	 	      0.967 
KS Naive p-value......    0.91286 	 	    0.99626 
KS Statistic..........    0.19928 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     7.4167 
std mean diff.........    -4.2846 	 	     2.4948 

mean raw eQQ diff.....     1.1667 	 	     1.3333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          2 	 	          3 

mean eCDF diff........   0.074638 	 	   0.076389 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.0166 
T-test p-value........    0.90175 	 	    0.88344 
KS Bootstrap p-value..       0.63 	 	      0.721 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.7283 
std mean diff.........     34.141 	 	     4.1644 

mean raw eQQ diff.....     1.5179 	 	    0.42642 
med  raw eQQ diff.....     1.1184 	 	   0.046544 
max  raw eQQ diff.....     4.1068 	 	     2.1903 

mean eCDF diff........    0.13126 	 	   0.066667 
med  eCDF diff........     0.1413 	 	   0.083333 
max  eCDF diff........    0.28261 	 	    0.16667 

var ratio (Tr/Co).....    0.93323 	 	     1.3441 
T-test p-value........    0.35334 	 	    0.74021 
KS Bootstrap p-value..      0.314 	 	      0.956 
KS Naive p-value......    0.55458 	 	    0.99626 
KS Statistic..........    0.28261 	 	    0.16667 


Before Matching Minimum p.value: 0.115 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.449 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.16857 
std mean diff.........     93.462 	 	     108.21 

mean raw eQQ diff.....    0.32138 	 	    0.38535 
med  raw eQQ diff.....    0.27444 	 	    0.31593 
max  raw eQQ diff.....        0.7 	 	       0.75 

mean eCDF diff........    0.33802 	 	    0.39744 
med  eCDF diff........    0.33333 	 	    0.41667 
max  eCDF diff........    0.52899 	 	    0.58333 

var ratio (Tr/Co).....     2.0964 	 	     5.0349 
T-test p-value........   0.010188 	 	  0.0045403 
KS Bootstrap p-value..      0.013 	 	      0.024 
KS Naive p-value......   0.024231 	 	   0.033702 
KS Statistic..........    0.52899 	 	    0.58333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.7629 
std mean diff.........    -106.48 	 	    -117.52 

mean raw eQQ diff.....     1.0986 	 	     1.2057 
med  raw eQQ diff.....    0.82975 	 	      1.057 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.21422 	 	    0.21429 
med  eCDF diff........    0.21196 	 	       0.25 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	    0.38726 
T-test p-value........   0.012752 	 	   0.048119 
KS Bootstrap p-value..      0.112 	 	      0.217 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.23426 
std mean diff.........     32.426 	 	     14.927 

mean raw eQQ diff.....    0.11499 	 	    0.10537 
med  raw eQQ diff.....   0.047149 	 	   0.065842 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.077381 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     2.0281 
T-test p-value........    0.31442 	 	    0.65768 
KS Bootstrap p-value..      0.619 	 	      0.963 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.29364 
std mean diff.........     45.889 	 	     43.399 

mean raw eQQ diff.....    0.12651 	 	    0.12259 
med  raw eQQ diff.....    0.11277 	 	    0.10604 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19319 	 	    0.20833 
med  eCDF diff........    0.16667 	 	    0.20833 
max  eCDF diff........    0.52536 	 	        0.5 

var ratio (Tr/Co).....     1.1687 	 	     1.2613 
T-test p-value........    0.20051 	 	    0.26044 
KS Bootstrap p-value..      0.017 	 	      0.074 
KS Naive p-value......   0.025736 	 	   0.099562 
KS Statistic..........    0.52536 	 	        0.5 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     3.1666 
std mean diff.........    -73.948 	 	    -126.89 

mean raw eQQ diff.....     0.6649 	 	    0.88069 
med  raw eQQ diff.....    0.51242 	 	    0.60051 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.15558 	 	    0.15942 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	    0.16593 
T-test p-value........    0.17165 	 	    0.10236 
KS Bootstrap p-value..      0.208 	 	      0.225 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.20715 
std mean diff.........     19.981 	 	     11.256 

mean raw eQQ diff.....   0.054514 	 	    0.06166 
med  raw eQQ diff.....   0.052778 	 	   0.039596 
max  raw eQQ diff.....    0.11538 	 	    0.16667 

mean eCDF diff........   0.092305 	 	   0.074074 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.7714 
T-test p-value........    0.56362 	 	    0.72082 
KS Bootstrap p-value..      0.635 	 	      0.775 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0045403 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1686   0.5539   0.3854           0.1554   1.3977  2.4798  *      
ave.log.duration.prev5          2.7629   1.5572   -1.2057          0.6445   -0.8781 -1.8709 .      
ave.outcome.prev5               0.2343   0.2914   0.0571           0.1265   0.1728  0.4515         
ForceUS.prop.prev10             0.2936   0.3885   0.0948           0.0845   0.4584  1.1224         
ave.log.duration.prev10         3.1666   2.5238   -0.6427          0.4056   -0.6770 -1.5845        
ave.outcome.prev10              0.2072   0.2292   0.0221           0.0606   0.1273  0.3646         
---Overall Test---
      chisquare df p.value
strat      7.52  6   0.275
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -3 
$p.values
ForceUS     NPC 
  0.937   0.937 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2241508 62.6289960  0.1052697 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2049476 53.7998296  0.1386600 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 20.061501   2.897973   9.410465 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.017598   2.150746   1.307369 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs TRUE ***


Wed Apr 22 08:03:22 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.404788e-01  4.163031e-01  4.387897e-01  4.886174e-01  5.175508e-01  5.700023e-01  5.700023e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.404788e-01  4.163031e-01  4.387897e-01  4.886174e-01  5.175508e-01  5.700023e-01  5.700023e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.211892e+02
 X[ 2] :	8.345303e+02
 X[ 3] :	6.043620e+02
 X[ 4] :	6.279961e+01
 X[ 5] :	9.725405e+02
 X[ 6] :	1.306900e+02
 X[ 7] :	3.025280e+01

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 22 08:10:11 2015
Total run time : 0 hours 6 minutes and 49 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6      Fillmore         3          3
3      Jackson         4          4       Lincoln         4          3
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Fillmore         3          3
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7        Reagan        33         24
11     Clinton        24         10          Ford         4          4
12 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	        0.5 
std mean diff.........    -12.488 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.032609 	 	          0 
med  eCDF diff........   0.032609 	 	          0 
max  eCDF diff........   0.065217 	 	          0 

var ratio (Tr/Co).....     1.0615 	 	          1 
T-test p-value........    0.72657 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1905.7 
std mean diff.........    -16.807 	 	    -7.9729 

mean raw eQQ diff.....     22.333 	 	     12.667 
med  raw eQQ diff.....         25 	 	       10.5 
max  raw eQQ diff.....         40 	 	         28 

mean eCDF diff........    0.13064 	 	   0.083333 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	       0.25 

var ratio (Tr/Co).....     2.0977 	 	     1.3761 
T-test p-value........    0.60921 	 	    0.34048 
KS Bootstrap p-value..      0.115 	 	       0.76 
KS Naive p-value......    0.15042 	 	    0.84749 
KS Statistic..........    0.37319 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	        0.5 
std mean diff.........    -11.962 	 	    -16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	    0.97222 
T-test p-value........     0.7394 	 	       0.57 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.8553 
std mean diff.........    -18.944 	 	    -9.4271 

mean raw eQQ diff.....    0.27313 	 	    0.27573 
med  raw eQQ diff.....    0.12783 	 	    0.18051 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.071084 	 	   0.069444 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	    0.16667 

var ratio (Tr/Co).....     1.4627 	 	     1.5595 
T-test p-value........    0.57974 	 	     0.4163 
KS Bootstrap p-value..      0.713 	 	      0.962 
KS Naive p-value......    0.91286 	 	    0.99626 
KS Statistic..........    0.19928 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     6.9167 
std mean diff.........    -4.2846 	 	     9.9793 

mean raw eQQ diff.....     1.1667 	 	        1.5 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          2 	 	          6 

mean eCDF diff........   0.074638 	 	   0.064103 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....     1.2741 	 	     1.1608 
T-test p-value........    0.90175 	 	    0.48862 
KS Bootstrap p-value..       0.63 	 	      0.958 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.1243 
std mean diff.........     34.141 	 	     29.274 

mean raw eQQ diff.....     1.5179 	 	     1.6016 
med  raw eQQ diff.....     1.1184 	 	     1.2471 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.16026 
med  eCDF diff........     0.1413 	 	    0.16667 
max  eCDF diff........    0.28261 	 	    0.33333 

var ratio (Tr/Co).....    0.93323 	 	    0.58995 
T-test p-value........    0.35334 	 	    0.43879 
KS Bootstrap p-value..      0.314 	 	      0.361 
KS Naive p-value......    0.55458 	 	    0.51755 
KS Statistic..........    0.28261 	 	    0.33333 


Before Matching Minimum p.value: 0.115 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.34048 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.17549 
std mean diff.........     93.462 	 	     106.27 

mean raw eQQ diff.....    0.32138 	 	    0.37844 
med  raw eQQ diff.....    0.27444 	 	    0.31593 
max  raw eQQ diff.....        0.7 	 	    0.66667 

mean eCDF diff........    0.33802 	 	    0.35897 
med  eCDF diff........    0.33333 	 	    0.33333 
max  eCDF diff........    0.52899 	 	    0.58333 

var ratio (Tr/Co).....     2.0964 	 	     4.3833 
T-test p-value........   0.010188 	 	   0.007343 
KS Bootstrap p-value..      0.013 	 	      0.025 
KS Naive p-value......   0.024231 	 	   0.033702 
KS Statistic..........    0.52899 	 	    0.58333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     3.5186 
std mean diff.........    -106.48 	 	    -191.18 

mean raw eQQ diff.....     1.0986 	 	     1.9615 
med  raw eQQ diff.....    0.82975 	 	      2.232 
max  raw eQQ diff.....     2.3128 	 	     2.7795 

mean eCDF diff........    0.21422 	 	    0.34259 
med  eCDF diff........    0.21196 	 	    0.33333 
max  eCDF diff........    0.39855 	 	    0.58333 

var ratio (Tr/Co).....    0.56302 	 	    0.49702 
T-test p-value........   0.012752 	 	  0.0079966 
KS Bootstrap p-value..      0.112 	 	      0.015 
KS Naive p-value......    0.16323 	 	   0.033702 
KS Statistic..........    0.39855 	 	    0.58333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	   0.057318 
std mean diff.........     32.426 	 	     61.185 

mean raw eQQ diff.....    0.11499 	 	    0.23404 
med  raw eQQ diff.....   0.047149 	 	    0.13095 
max  raw eQQ diff.....        0.5 	 	    0.66667 

mean eCDF diff........   0.082952 	 	    0.24242 
med  eCDF diff........   0.065217 	 	       0.25 
max  eCDF diff........    0.20652 	 	    0.41667 

var ratio (Tr/Co).....      3.204 	 	     7.5651 
T-test p-value........    0.31442 	 	   0.075921 
KS Bootstrap p-value..      0.619 	 	      0.141 
KS Naive p-value......    0.88967 	 	    0.24855 
KS Statistic..........    0.20652 	 	    0.41667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.38727 
std mean diff.........     45.889 	 	    0.54562 

mean raw eQQ diff.....    0.12651 	 	    0.09695 
med  raw eQQ diff.....    0.11277 	 	   0.043831 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.19319 	 	   0.087963 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	       0.25 

var ratio (Tr/Co).....     1.1687 	 	     1.0507 
T-test p-value........    0.20051 	 	    0.98888 
KS Bootstrap p-value..      0.017 	 	      0.773 
KS Naive p-value......   0.025736 	 	    0.84749 
KS Statistic..........    0.52536 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     3.4105 
std mean diff.........    -73.948 	 	    -175.05 

mean raw eQQ diff.....     0.6649 	 	    0.96782 
med  raw eQQ diff.....    0.51242 	 	     1.1463 
max  raw eQQ diff.....     1.8581 	 	     1.8328 

mean eCDF diff........    0.15558 	 	    0.19298 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	        0.5 

var ratio (Tr/Co).....    0.22107 	 	    0.19985 
T-test p-value........    0.17165 	 	   0.024353 
KS Bootstrap p-value..      0.208 	 	      0.082 
KS Naive p-value......    0.29579 	 	   0.099562 
KS Statistic..........    0.34783 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17583 
std mean diff.........     19.981 	 	     27.213 

mean raw eQQ diff.....   0.054514 	 	    0.11278 
med  raw eQQ diff.....   0.052778 	 	    0.10745 
max  raw eQQ diff.....    0.11538 	 	        0.2 

mean eCDF diff........   0.092305 	 	    0.16667 
med  eCDF diff........   0.083333 	 	    0.16667 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.1794 
T-test p-value........    0.56362 	 	    0.40892 
KS Bootstrap p-value..      0.635 	 	      0.413 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.007343 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.17549  0.55393  0.37844          0.15891  1.35607  2.38147  *       
ave.log.duration.prev5         3.51862  1.55715  -1.96147         0.83011  -1.55791 -2.36289 *       
ave.outcome.prev5              0.05732  0.29136  0.23404          0.13724  0.81321  1.70533  .       
ForceUS.prop.prev10            0.38727  0.38846  0.00119          0.08364  0.00552  0.01425          
ave.log.duration.prev10        3.41052  2.52381  -0.88671         0.42560  -1.01036 -2.08343 *       
ave.outcome.prev10             0.17583  0.22924  0.05341          0.06409  0.28311  0.83331          
---Overall Test---
      chisquare df p.value
strat         7  6   0.321
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
    -13 
$p.values
ForceUS     NPC 
  0.857   0.857 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2480873 48.9211296  0.1337759 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3110323 42.2135531  0.2383623 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 23.444251   2.223176  12.227160 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
574.546318   1.530830   1.720859 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs FALSE ***


Wed Apr 22 09:00:36 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.776868e-02  5.276355e-02  6.609073e-02  1.350679e-01  1.413696e-01  1.546415e-01  1.780883e-01  1.982381e-01  2.448511e-01  2.485482e-01  2.667674e-01  3.186800e-01  3.186800e-01  4.940973e-01  5.111355e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.133712e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.776868e-02  5.276355e-02  6.609073e-02  1.350679e-01  1.413696e-01  1.546415e-01  1.780883e-01  1.982381e-01  2.448511e-01  2.485482e-01  2.667674e-01  3.186800e-01  3.186800e-01  4.940973e-01  5.111355e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.133712e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.540265e+01
 X[ 2] :	5.063211e+02
 X[ 3] :	2.901963e+02
 X[ 4] :	1.789858e+02
 X[ 5] :	4.734107e+02
 X[ 6] :	5.109962e+02
 X[ 7] :	2.090743e+02
 X[ 8] :	9.348799e+02
 X[ 9] :	1.259034e+02
 X[10] :	9.082366e+02
 X[11] :	8.329990e+02
 X[12] :	1.399194e+02
 X[13] :	8.355948e+02
 X[14] :	2.227547e+02
 X[15] :	8.009895e+02
 X[16] :	4.206623e+02
 X[17] :	9.594093e+02
 X[18] :	7.208137e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 22 09:18:25 2015
Total run time : 0 hours 17 minutes and 49 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2      Van Buren         4          4
5         Polk         1          1        Harding         1          1
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4           Ford         4          4
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7         Reagan        33         24
11     Clinton        24         10 Bush, G. H. W.         8          5
12 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.66667 
std mean diff.........    -12.488 	 	    -31.914 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.083333 
med  eCDF diff........   0.032609 	 	   0.083333 
max  eCDF diff........   0.065217 	 	    0.16667 

var ratio (Tr/Co).....     1.0615 	 	      1.125 
T-test p-value........    0.72657 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1926.1 
std mean diff.........    -16.807 	 	    -35.878 

mean raw eQQ diff.....     22.333 	 	     26.917 
med  raw eQQ diff.....         25 	 	         24 
max  raw eQQ diff.....         40 	 	         56 

mean eCDF diff........    0.13064 	 	      0.125 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.6326 
T-test p-value........    0.60921 	 	   0.066091 
KS Bootstrap p-value..      0.115 	 	       0.45 
KS Naive p-value......    0.15042 	 	     0.5361 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	        0.5 
std mean diff.........    -11.962 	 	    -16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	    0.97222 
T-test p-value........     0.7394 	 	       0.57 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.9456 
std mean diff.........    -18.944 	 	    -16.469 

mean raw eQQ diff.....    0.27313 	 	    0.38733 
med  raw eQQ diff.....    0.12783 	 	    0.29309 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.071084 	 	    0.10119 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.8041 
T-test p-value........    0.57974 	 	    0.61337 
KS Bootstrap p-value..      0.713 	 	      0.749 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     9.6667 
std mean diff.........    -4.2846 	 	    -31.185 

mean raw eQQ diff.....     1.1667 	 	       2.25 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          2 	 	          5 

mean eCDF diff........   0.074638 	 	    0.12778 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.1242 
T-test p-value........    0.90175 	 	    0.14137 
KS Bootstrap p-value..       0.63 	 	      0.715 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.0586 
std mean diff.........     34.141 	 	     32.006 

mean raw eQQ diff.....     1.5179 	 	     1.5829 
med  raw eQQ diff.....     1.1184 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.17708 
med  eCDF diff........     0.1413 	 	    0.16667 
max  eCDF diff........    0.28261 	 	    0.33333 

var ratio (Tr/Co).....    0.93323 	 	    0.59386 
T-test p-value........    0.35334 	 	     0.4941 
KS Bootstrap p-value..      0.314 	 	      0.414 
KS Naive p-value......    0.55458 	 	    0.51755 
KS Statistic..........    0.28261 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.33892 
std mean diff.........     93.462 	 	     60.374 

mean raw eQQ diff.....    0.32138 	 	    0.21501 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.19444 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.6448 
T-test p-value........   0.010188 	 	   0.047769 
KS Bootstrap p-value..      0.012 	 	      0.406 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.4174 
std mean diff.........    -106.48 	 	    -83.846 

mean raw eQQ diff.....     1.0986 	 	    0.86022 
med  raw eQQ diff.....    0.82975 	 	    0.50731 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	     0.1746 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	    0.58354 
T-test p-value........   0.012752 	 	   0.052764 
KS Bootstrap p-value..      0.106 	 	       0.45 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.18946 
std mean diff.........     32.426 	 	      26.64 

mean raw eQQ diff.....    0.11499 	 	     0.1019 
med  raw eQQ diff.....   0.047149 	 	   0.027814 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.083333 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     2.2206 
T-test p-value........    0.31442 	 	    0.17809 
KS Bootstrap p-value..      0.616 	 	      0.958 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32707 
std mean diff.........     45.889 	 	     28.098 

mean raw eQQ diff.....    0.12651 	 	   0.078054 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.10317 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.4241 
T-test p-value........    0.20051 	 	    0.26677 
KS Bootstrap p-value..      0.011 	 	      0.441 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6781 
std mean diff.........    -73.948 	 	    -30.468 

mean raw eQQ diff.....     0.6649 	 	    0.45567 
med  raw eQQ diff.....    0.51242 	 	    0.23205 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.17754 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     0.3087 
T-test p-value........    0.17165 	 	    0.51114 
KS Bootstrap p-value..      0.198 	 	      0.199 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	     0.1831 
std mean diff.........     19.981 	 	     23.509 

mean raw eQQ diff.....   0.054514 	 	   0.069398 
med  raw eQQ diff.....   0.052778 	 	   0.070563 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.10648 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.2493 
T-test p-value........    0.56362 	 	    0.15464 
KS Bootstrap p-value..      0.642 	 	      0.762 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	   0.083333 
std mean diff.........     9.3081 	 	     21.409 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.018116 	 	   0.041667 
med  eCDF diff........   0.018116 	 	   0.041667 
max  eCDF diff........   0.036232 	 	   0.083333 

var ratio (Tr/Co).....     1.2778 	 	     1.8182 
T-test p-value........    0.78861 	 	       0.57 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	     -3.001 
std mean diff.........    -57.455 	 	    -38.269 

mean raw eQQ diff.....     1.4371 	 	     1.0482 
med  raw eQQ diff.....     1.2586 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.14457 	 	        0.1 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....     1.5033 	 	     1.6124 
T-test p-value........    0.10279 	 	    0.13507 
KS Bootstrap p-value..      0.061 	 	      0.649 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     39.147 
std mean diff.........    -14.667 	 	     -23.65 

mean raw eQQ diff.....     4.5876 	 	      5.233 
med  raw eQQ diff.....     4.6477 	 	     5.2898 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064651 	 	   0.079365 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	    0.88041 
T-test p-value........    0.68804 	 	    0.19824 
KS Bootstrap p-value..      0.823 	 	      0.779 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	    0.41667 
std mean diff.........     13.369 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.03442 	 	          0 
med  eCDF diff........    0.03442 	 	          0 
max  eCDF diff........   0.068841 	 	          0 

var ratio (Tr/Co).....     1.1181 	 	          1 
T-test p-value........    0.70594 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	     20.083 
std mean diff.........     3.2569 	 	    -20.997 

mean raw eQQ diff.....     2.8333 	 	     3.9167 
med  raw eQQ diff.....        2.5 	 	          3 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........   0.058959 	 	   0.078947 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	    0.97899 
T-test p-value........    0.92529 	 	    0.24485 
KS Bootstrap p-value..       0.84 	 	      0.981 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.047769 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.33892 
std mean diff.........     93.462 	 	     60.374 

mean raw eQQ diff.....    0.32138 	 	    0.21501 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.19444 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.6448 
T-test p-value........   0.010188 	 	   0.047769 
KS Bootstrap p-value..      0.013 	 	      0.407 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.4174 
std mean diff.........    -106.48 	 	    -83.846 

mean raw eQQ diff.....     1.0986 	 	    0.86022 
med  raw eQQ diff.....    0.82975 	 	    0.50731 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	     0.1746 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	    0.58354 
T-test p-value........   0.012752 	 	   0.052764 
KS Bootstrap p-value..      0.112 	 	      0.479 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.18946 
std mean diff.........     32.426 	 	      26.64 

mean raw eQQ diff.....    0.11499 	 	     0.1019 
med  raw eQQ diff.....   0.047149 	 	   0.027814 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.083333 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     2.2206 
T-test p-value........    0.31442 	 	    0.17809 
KS Bootstrap p-value..      0.619 	 	      0.967 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32707 
std mean diff.........     45.889 	 	     28.098 

mean raw eQQ diff.....    0.12651 	 	   0.078054 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.10317 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.4241 
T-test p-value........    0.20051 	 	    0.26677 
KS Bootstrap p-value..      0.017 	 	      0.446 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6781 
std mean diff.........    -73.948 	 	    -30.468 

mean raw eQQ diff.....     0.6649 	 	    0.45567 
med  raw eQQ diff.....    0.51242 	 	    0.23205 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.17754 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     0.3087 
T-test p-value........    0.17165 	 	    0.51114 
KS Bootstrap p-value..      0.208 	 	      0.239 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	     0.1831 
std mean diff.........     19.981 	 	     23.509 

mean raw eQQ diff.....   0.054514 	 	   0.069398 
med  raw eQQ diff.....   0.052778 	 	   0.070563 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.10648 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.2493 
T-test p-value........    0.56362 	 	    0.15464 
KS Bootstrap p-value..      0.635 	 	      0.769 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.047769 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3389   0.5539   0.2150           0.1148   0.6733  1.8733  .      
ave.log.duration.prev5          2.4174   1.5572   -0.8602          0.4678   -0.7198 -1.8391 .      
ave.outcome.prev5               0.1895   0.2914   0.1019           0.0767   0.3128  1.3286         
ForceUS.prop.prev10             0.3271   0.3885   0.0614           0.0554   0.3046  1.1084         
ave.log.duration.prev10         2.6781   2.5238   -0.1543          0.2316   -0.2093 -0.6664        
ave.outcome.prev10              0.1831   0.2292   0.0461           0.0330   0.2478  1.3984         
---Overall Test---
      chisquare df p.value
strat      7.26  6   0.297
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.607   0.607 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19830346 39.30489757  0.08050576 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2549145 52.2967872  0.1957036 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 15.765125   1.871302   6.387484 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.841241   1.300564   1.260863 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs TRUE ***


Wed Apr 22 10:08:18 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.030751e-02  7.178562e-02  8.200548e-02  9.982107e-02  1.135965e-01  1.751370e-01  2.403359e-01  2.485482e-01  2.485482e-01  2.780390e-01  3.057991e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.518678e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.676680e-01  6.992570e-01  8.063342e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.030751e-02  7.178562e-02  8.200548e-02  9.982107e-02  1.135965e-01  1.751370e-01  2.403359e-01  2.485482e-01  2.485482e-01  2.780390e-01  3.057991e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.518678e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.676680e-01  6.992570e-01  8.063342e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.375305e+02
 X[ 2] :	9.337063e+02
 X[ 3] :	5.545669e+02
 X[ 4] :	6.856150e+02
 X[ 5] :	5.957503e+02
 X[ 6] :	2.988983e+02
 X[ 7] :	1.503558e+02
 X[ 8] :	2.846348e+02
 X[ 9] :	4.990977e+02
 X[10] :	8.929022e+02
 X[11] :	5.047928e+02
 X[12] :	7.245983e+02
 X[13] :	5.889979e+02
 X[14] :	4.986803e+01
 X[15] :	9.189203e+02
 X[16] :	5.961046e+02
 X[17] :	8.361473e+02
 X[18] :	9.063025e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 22 10:27:12 2015
Total run time : 0 hours 18 minutes and 54 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13      Buchanan         6          5
8       Truman         6          4          Ford         4          4
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10         Obama         4          3
12 Bush, G. W.        24         20         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.66667 
std mean diff.........    -12.488 	 	    -31.914 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.083333 
med  eCDF diff........   0.032609 	 	   0.083333 
max  eCDF diff........   0.065217 	 	    0.16667 

var ratio (Tr/Co).....     1.0615 	 	      1.125 
T-test p-value........    0.72657 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1924.5 
std mean diff.........    -16.807 	 	    -33.714 

mean raw eQQ diff.....     22.333 	 	     25.167 
med  raw eQQ diff.....         25 	 	         24 
max  raw eQQ diff.....         40 	 	         56 

mean eCDF diff........    0.13064 	 	    0.12083 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.4593 
T-test p-value........    0.60921 	 	   0.082005 
KS Bootstrap p-value..      0.115 	 	      0.429 
KS Naive p-value......    0.15042 	 	    0.51755 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.33333 
std mean diff.........    -11.962 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	     1.0938 
T-test p-value........     0.7394 	 	    0.31868 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.6419 
std mean diff.........    -18.944 	 	      7.217 

mean raw eQQ diff.....    0.27313 	 	      0.256 
med  raw eQQ diff.....    0.12783 	 	    0.25541 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.071084 	 	   0.077381 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.3461 
T-test p-value........    0.57974 	 	    0.80633 
KS Bootstrap p-value..      0.713 	 	      0.755 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	        8.5 
std mean diff.........    -4.2846 	 	    -13.722 

mean raw eQQ diff.....     1.1667 	 	     2.0833 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          2 	 	          5 

mean eCDF diff........   0.074638 	 	    0.10714 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.4066 
T-test p-value........    0.90175 	 	    0.27804 
KS Bootstrap p-value..       0.63 	 	      0.714 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     4.5129 
std mean diff.........     34.141 	 	     54.697 

mean raw eQQ diff.....     1.5179 	 	     2.1287 
med  raw eQQ diff.....     1.1184 	 	     1.6304 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.25595 
med  eCDF diff........     0.1413 	 	    0.29167 
max  eCDF diff........    0.28261 	 	    0.41667 

var ratio (Tr/Co).....    0.93323 	 	    0.62644 
T-test p-value........    0.35334 	 	    0.24034 
KS Bootstrap p-value..      0.314 	 	      0.189 
KS Naive p-value......    0.55458 	 	    0.24855 
KS Statistic..........    0.28261 	 	    0.41667 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	     0.3741 
std mean diff.........     93.462 	 	     50.496 

mean raw eQQ diff.....    0.32138 	 	    0.18488 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.11806 
med  eCDF diff........    0.33333 	 	   0.083333 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.3582 
T-test p-value........   0.010188 	 	   0.070308 
KS Bootstrap p-value..      0.012 	 	      0.379 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3718 
std mean diff.........    -106.48 	 	    -79.405 

mean raw eQQ diff.....     1.0986 	 	    0.81466 
med  raw eQQ diff.....    0.82975 	 	     0.6365 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.21422 	 	    0.21569 
med  eCDF diff........    0.21196 	 	       0.25 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	    0.88493 
T-test p-value........   0.012752 	 	   0.071786 
KS Bootstrap p-value..      0.106 	 	      0.191 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.19663 
std mean diff.........     32.426 	 	     24.766 

mean raw eQQ diff.....    0.11499 	 	   0.094736 
med  raw eQQ diff.....   0.047149 	 	   0.048935 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.082952 	 	   0.098485 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     1.7964 
T-test p-value........    0.31442 	 	    0.17514 
KS Bootstrap p-value..      0.616 	 	      0.667 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31984 
std mean diff.........     45.889 	 	     31.407 

mean raw eQQ diff.....    0.12651 	 	   0.078445 
med  raw eQQ diff.....    0.11277 	 	   0.050974 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	   0.088235 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	       0.25 

var ratio (Tr/Co).....     1.1687 	 	      2.248 
T-test p-value........    0.20051 	 	     0.1136 
KS Bootstrap p-value..      0.011 	 	      0.757 
KS Naive p-value......   0.025736 	 	    0.84749 
KS Statistic..........    0.52536 	 	       0.25 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6561 
std mean diff.........    -73.948 	 	    -26.122 

mean raw eQQ diff.....     0.6649 	 	    0.25624 
med  raw eQQ diff.....    0.51242 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.12281 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.61275 
T-test p-value........    0.17165 	 	    0.45187 
KS Bootstrap p-value..      0.198 	 	       0.44 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17521 
std mean diff.........     19.981 	 	     27.531 

mean raw eQQ diff.....   0.054514 	 	   0.073874 
med  raw eQQ diff.....   0.052778 	 	    0.08141 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	     0.1369 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.1115 
T-test p-value........    0.56362 	 	   0.099821 
KS Bootstrap p-value..      0.642 	 	      0.421 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -3.8361 
std mean diff.........    -57.455 	 	    -7.3553 

mean raw eQQ diff.....     1.4371 	 	    0.76331 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.14457 	 	      0.075 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	    0.16667 

var ratio (Tr/Co).....     1.5033 	 	     1.7178 
T-test p-value........    0.10279 	 	    0.69926 
KS Bootstrap p-value..      0.061 	 	      0.951 
KS Naive p-value......    0.16323 	 	    0.99626 
KS Statistic..........    0.39855 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     38.234 
std mean diff.........    -14.667 	 	    -18.799 

mean raw eQQ diff.....     4.5876 	 	     4.9187 
med  raw eQQ diff.....     4.6477 	 	     3.7462 
max  raw eQQ diff.....     13.667 	 	     15.236 

mean eCDF diff........   0.064651 	 	   0.093137 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	    0.68685 
T-test p-value........    0.68804 	 	     0.3058 
KS Bootstrap p-value..      0.823 	 	      0.738 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	       0.25 
std mean diff.........     13.369 	 	     32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.083333 
med  eCDF diff........    0.03442 	 	   0.083333 
max  eCDF diff........   0.068841 	 	    0.16667 

var ratio (Tr/Co).....     1.1181 	 	     1.2963 
T-test p-value........    0.70594 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	      18.25 
std mean diff.........     3.2569 	 	    -8.5123 

mean raw eQQ diff.....     2.8333 	 	     3.4167 
med  raw eQQ diff.....        2.5 	 	        2.5 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.058959 	 	   0.077778 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	       1.22 
T-test p-value........    0.92529 	 	    0.56767 
KS Bootstrap p-value..       0.84 	 	      0.969 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.070308 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	     0.3741 
std mean diff.........     93.462 	 	     50.496 

mean raw eQQ diff.....    0.32138 	 	    0.18488 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.11806 
med  eCDF diff........    0.33333 	 	   0.083333 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.3582 
T-test p-value........   0.010188 	 	   0.070308 
KS Bootstrap p-value..      0.013 	 	      0.401 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3718 
std mean diff.........    -106.48 	 	    -79.405 

mean raw eQQ diff.....     1.0986 	 	    0.81466 
med  raw eQQ diff.....    0.82975 	 	     0.6365 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.21422 	 	    0.21569 
med  eCDF diff........    0.21196 	 	       0.25 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	    0.88493 
T-test p-value........   0.012752 	 	   0.071786 
KS Bootstrap p-value..      0.112 	 	      0.188 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.19663 
std mean diff.........     32.426 	 	     24.766 

mean raw eQQ diff.....    0.11499 	 	   0.094736 
med  raw eQQ diff.....   0.047149 	 	   0.048935 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.082952 	 	   0.098485 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     1.7964 
T-test p-value........    0.31442 	 	    0.17514 
KS Bootstrap p-value..      0.619 	 	      0.661 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31984 
std mean diff.........     45.889 	 	     31.407 

mean raw eQQ diff.....    0.12651 	 	   0.078445 
med  raw eQQ diff.....    0.11277 	 	   0.050974 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	   0.088235 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	       0.25 

var ratio (Tr/Co).....     1.1687 	 	      2.248 
T-test p-value........    0.20051 	 	     0.1136 
KS Bootstrap p-value..      0.017 	 	       0.76 
KS Naive p-value......   0.025736 	 	    0.84749 
KS Statistic..........    0.52536 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6561 
std mean diff.........    -73.948 	 	    -26.122 

mean raw eQQ diff.....     0.6649 	 	    0.25624 
med  raw eQQ diff.....    0.51242 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.12281 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.61275 
T-test p-value........    0.17165 	 	    0.45187 
KS Bootstrap p-value..      0.208 	 	      0.465 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17521 
std mean diff.........     19.981 	 	     27.531 

mean raw eQQ diff.....   0.054514 	 	   0.073874 
med  raw eQQ diff.....   0.052778 	 	    0.08141 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	     0.1369 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.1115 
T-test p-value........    0.56362 	 	   0.099821 
KS Bootstrap p-value..      0.635 	 	      0.409 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.070308 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3741   0.5539   0.1798           0.1037   0.5984  1.7347  .      
ave.log.duration.prev5          2.3718   1.5572   -0.8147          0.4718   -0.7694 -1.7268 .      
ave.outcome.prev5               0.1966   0.2914   0.0947           0.0709   0.2807  1.3371         
ForceUS.prop.prev10             0.3198   0.3885   0.0686           0.0446   0.3695  1.5398         
ave.log.duration.prev10         2.6561   2.5238   -0.1323          0.1739   -0.2277 -0.7609        
ave.outcome.prev10              0.1752   0.2292   0.0540           0.0339   0.2825  1.5951         
---Overall Test---
      chisquare df p.value
strat      8.25  6   0.221
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     34 
$p.values
ForceUS     NPC 
  0.322   0.322 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22516835 35.06102694  0.04503367 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2423153 49.9577991  0.1808226 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 15.986953   1.808078   2.928451 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7418696  0.9606671  0.9542316 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs FALSE ***


Wed Apr 22 11:18:31 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.467684e-02  3.699421e-02  3.740634e-02  4.884428e-02  6.361459e-02  9.956185e-02  1.003145e-01  1.496097e-01  1.496097e-01  1.876720e-01  2.079213e-01  2.485482e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.015534e-01  4.287287e-01  4.313548e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.173312e-01  8.024294e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.467684e-02  4.414395e-02  4.884428e-02  6.361459e-02  9.572967e-02  9.956185e-02  1.496097e-01  1.496097e-01  1.661579e-01  2.032206e-01  2.168497e-01  2.485482e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.964980e-01  4.270411e-01  4.586181e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.291920e-01  8.024294e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	3.775160e-02  4.251026e-02  5.415375e-02  6.009764e-02  9.956185e-02  1.496097e-01  1.496097e-01  1.746498e-01  2.032206e-01  2.301649e-01  2.485482e-01  2.485482e-01  2.589508e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.633155e-01  4.121362e-01  4.605839e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.293315e-01  8.054972e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	4.347695e-02  5.053476e-02  5.620290e-02  8.378396e-02  8.378396e-02  8.934255e-02  1.496097e-01  1.496097e-01  1.584141e-01  2.102460e-01  2.363265e-01  2.485482e-01  2.485482e-01  2.994318e-01  3.186800e-01  3.186800e-01  3.231849e-01  5.175508e-01  5.360978e-01  5.647135e-01  5.652944e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.561067e-01  6.787769e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.347695e-02  5.053476e-02  5.620290e-02  8.378396e-02  8.378396e-02  8.934255e-02  1.496097e-01  1.496097e-01  1.584141e-01  2.102460e-01  2.363265e-01  2.485482e-01  2.485482e-01  2.994318e-01  3.186800e-01  3.186800e-01  3.231849e-01  5.175508e-01  5.360978e-01  5.647135e-01  5.652944e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.561067e-01  6.787769e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.359013e+02
 X[ 2] :	5.229286e+02
 X[ 3] :	3.901890e+02
 X[ 4] :	2.773163e+02
 X[ 5] :	2.839968e+02
 X[ 6] :	6.852764e+02
 X[ 7] :	2.104029e+02
 X[ 8] :	6.543162e+01
 X[ 9] :	9.103383e+02
 X[10] :	2.206347e+01
 X[11] :	8.188945e+02
 X[12] :	4.375536e+02
 X[13] :	6.659845e+02
 X[14] :	5.688646e+02
 X[15] :	7.086007e+02
 X[16] :	3.822008e+01
 X[17] :	6.332639e+02
 X[18] :	7.143160e+02
 X[19] :	3.389259e+01
 X[20] :	3.723971e+02

Solution Found Generation 4
Number of Generations Run 15

Wed Apr 22 11:42:32 2015
Total run time : 0 hours 24 minutes and 1 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Grant         7          6
2       Monroe         6          6  Roosevelt, F.        10          8
3      Jackson         4          4       Coolidge         1          1
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4           Ford         4          4
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7         Reagan        33         24
11     Clinton        24         10        Kennedy         9          3
12 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.66667 
std mean diff.........    -12.488 	 	    -31.914 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.083333 
med  eCDF diff........   0.032609 	 	   0.083333 
max  eCDF diff........   0.065217 	 	    0.16667 

var ratio (Tr/Co).....     1.0615 	 	      1.125 
T-test p-value........    0.72657 	 	    0.14961 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1926.2 
std mean diff.........    -16.807 	 	    -36.106 

mean raw eQQ diff.....     22.333 	 	     27.083 
med  raw eQQ diff.....         25 	 	         24 
max  raw eQQ diff.....         40 	 	         58 

mean eCDF diff........    0.13064 	 	      0.125 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.6334 
T-test p-value........    0.60921 	 	   0.050535 
KS Bootstrap p-value..      0.115 	 	      0.441 
KS Naive p-value......    0.15042 	 	     0.5361 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.41667 
std mean diff.........    -11.962 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.030797 	 	          0 
med  eCDF diff........   0.030797 	 	          0 
max  eCDF diff........   0.061594 	 	          0 

var ratio (Tr/Co).....     1.0164 	 	          1 
T-test p-value........     0.7394 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.9793 
std mean diff.........    -18.944 	 	    -19.105 

mean raw eQQ diff.....    0.27313 	 	    0.42112 
med  raw eQQ diff.....    0.12783 	 	    0.38056 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.071084 	 	    0.11111 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.8604 
T-test p-value........    0.57974 	 	    0.56471 
KS Bootstrap p-value..      0.713 	 	       0.77 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     9.0833 
std mean diff.........    -4.2846 	 	    -22.453 

mean raw eQQ diff.....     1.1667 	 	     1.8333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          2 	 	          4 

mean eCDF diff........   0.074638 	 	    0.10556 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.0605 
T-test p-value........    0.90175 	 	    0.21025 
KS Bootstrap p-value..       0.63 	 	       0.76 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.3228 
std mean diff.........     34.141 	 	     21.021 

mean raw eQQ diff.....     1.5179 	 	     1.3187 
med  raw eQQ diff.....     1.1184 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.14062 
med  eCDF diff........     0.1413 	 	    0.16667 
max  eCDF diff........    0.28261 	 	       0.25 

var ratio (Tr/Co).....    0.93323 	 	    0.63877 
T-test p-value........    0.35334 	 	    0.65611 
KS Bootstrap p-value..      0.314 	 	      0.718 
KS Naive p-value......    0.55458 	 	    0.84749 
KS Statistic..........    0.28261 	 	       0.25 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	      0.284 
std mean diff.........     93.462 	 	     75.796 

mean raw eQQ diff.....    0.32138 	 	    0.26993 
med  raw eQQ diff.....    0.27444 	 	      0.225 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33802 	 	    0.23214 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.41667 

var ratio (Tr/Co).....     2.0964 	 	     2.8197 
T-test p-value........   0.010188 	 	   0.043477 
KS Bootstrap p-value..      0.012 	 	      0.181 
KS Naive p-value......   0.024231 	 	    0.24855 
KS Statistic..........    0.52899 	 	    0.41667 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.1491 
std mean diff.........    -106.48 	 	    -57.695 

mean raw eQQ diff.....     1.0986 	 	    0.59193 
med  raw eQQ diff.....    0.82975 	 	    0.34782 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	    0.11905 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.91404 
T-test p-value........   0.012752 	 	   0.056203 
KS Bootstrap p-value..      0.106 	 	      0.779 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.22355 
std mean diff.........     32.426 	 	     17.728 

mean raw eQQ diff.....    0.11499 	 	   0.093065 
med  raw eQQ diff.....   0.047149 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.061111 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	      2.018 
T-test p-value........    0.31442 	 	    0.56529 
KS Bootstrap p-value..      0.616 	 	      0.964 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32576 
std mean diff.........     45.889 	 	       28.7 

mean raw eQQ diff.....    0.12651 	 	    0.07937 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19319 	 	    0.10317 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.4701 
T-test p-value........    0.20051 	 	    0.15841 
KS Bootstrap p-value..      0.011 	 	      0.449 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.667 
std mean diff.........    -73.948 	 	    -28.268 

mean raw eQQ diff.....     0.6649 	 	    0.44453 
med  raw eQQ diff.....    0.51242 	 	    0.23205 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.17754 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	    0.32574 
T-test p-value........    0.17165 	 	    0.67878 
KS Bootstrap p-value..      0.198 	 	      0.221 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.18398 
std mean diff.........     19.981 	 	     23.062 

mean raw eQQ diff.....   0.054514 	 	   0.070275 
med  raw eQQ diff.....   0.052778 	 	   0.070563 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.10648 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.2476 
T-test p-value........    0.56362 	 	    0.32318 
KS Bootstrap p-value..      0.642 	 	      0.765 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	   0.083333 
std mean diff.........     9.3081 	 	     21.409 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.018116 	 	   0.041667 
med  eCDF diff........   0.018116 	 	   0.041667 
max  eCDF diff........   0.036232 	 	   0.083333 

var ratio (Tr/Co).....     1.2778 	 	     1.8182 
T-test p-value........    0.78861 	 	       0.57 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	     -3.001 
std mean diff.........    -57.455 	 	    -38.269 

mean raw eQQ diff.....     1.4371 	 	     1.0482 
med  raw eQQ diff.....     1.2586 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........    0.14457 	 	        0.1 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....     1.5033 	 	     1.6124 
T-test p-value........    0.10279 	 	   0.089343 
KS Bootstrap p-value..      0.061 	 	      0.641 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	      39.23 
std mean diff.........    -14.667 	 	    -24.093 

mean raw eQQ diff.....     4.5876 	 	     5.1497 
med  raw eQQ diff.....     4.6477 	 	     5.2898 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064651 	 	   0.079365 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	    0.88704 
T-test p-value........    0.68804 	 	    0.29943 
KS Bootstrap p-value..      0.823 	 	      0.788 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	    0.33333 
std mean diff.........     13.369 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.041667 
med  eCDF diff........    0.03442 	 	   0.041667 
max  eCDF diff........   0.068841 	 	   0.083333 

var ratio (Tr/Co).....     1.1181 	 	     1.0938 
T-test p-value........    0.70594 	 	       0.57 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	         20 
std mean diff.........     3.2569 	 	     -20.43 

mean raw eQQ diff.....     2.8333 	 	     3.8333 
med  raw eQQ diff.....        2.5 	 	          3 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........   0.058959 	 	   0.078947 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	    0.97855 
T-test p-value........    0.92529 	 	    0.23633 
KS Bootstrap p-value..       0.84 	 	       0.98 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........      135.9 	 	     107.04 

mean raw eQQ diff.....        0.5 	 	    0.41667 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	    0.20833 
med  eCDF diff........    0.26449 	 	    0.20833 
max  eCDF diff........    0.52899 	 	    0.41667 

var ratio (Tr/Co).....    0.68452 	 	    0.57143 
T-test p-value........  0.0014797 	 	   0.083784 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.043477 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	      0.284 
std mean diff.........     93.462 	 	     75.796 

mean raw eQQ diff.....    0.32138 	 	    0.26993 
med  raw eQQ diff.....    0.27444 	 	      0.225 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33802 	 	    0.23214 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.41667 

var ratio (Tr/Co).....     2.0964 	 	     2.8197 
T-test p-value........   0.010188 	 	   0.043477 
KS Bootstrap p-value..      0.013 	 	      0.189 
KS Naive p-value......   0.024231 	 	    0.24855 
KS Statistic..........    0.52899 	 	    0.41667 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.1491 
std mean diff.........    -106.48 	 	    -57.695 

mean raw eQQ diff.....     1.0986 	 	    0.59193 
med  raw eQQ diff.....    0.82975 	 	    0.34782 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	    0.11905 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.91404 
T-test p-value........   0.012752 	 	   0.056203 
KS Bootstrap p-value..      0.112 	 	      0.805 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.22355 
std mean diff.........     32.426 	 	     17.728 

mean raw eQQ diff.....    0.11499 	 	   0.093065 
med  raw eQQ diff.....   0.047149 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.061111 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	      2.018 
T-test p-value........    0.31442 	 	    0.56529 
KS Bootstrap p-value..      0.619 	 	      0.971 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32576 
std mean diff.........     45.889 	 	       28.7 

mean raw eQQ diff.....    0.12651 	 	    0.07937 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19319 	 	    0.10317 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.4701 
T-test p-value........    0.20051 	 	    0.15841 
KS Bootstrap p-value..      0.017 	 	      0.441 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	      2.667 
std mean diff.........    -73.948 	 	    -28.268 

mean raw eQQ diff.....     0.6649 	 	    0.44453 
med  raw eQQ diff.....    0.51242 	 	    0.23205 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.17754 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	    0.32574 
T-test p-value........    0.17165 	 	    0.67878 
KS Bootstrap p-value..      0.208 	 	      0.233 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.18398 
std mean diff.........     19.981 	 	     23.062 

mean raw eQQ diff.....   0.054514 	 	   0.070275 
med  raw eQQ diff.....   0.052778 	 	   0.070563 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.10648 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.2476 
T-test p-value........    0.56362 	 	    0.32318 
KS Bootstrap p-value..      0.635 	 	      0.761 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.043477 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2840   0.5539   0.2699           0.1417   0.9210  1.9050  .      
ave.log.duration.prev5          2.1491   1.5572   -0.5919          0.3258   -0.5638 -1.8168 .      
ave.outcome.prev5               0.2236   0.2914   0.0678           0.1161   0.2050  0.5843         
ForceUS.prop.prev10             0.3258   0.3885   0.0627           0.0452   0.3131  1.3867         
ave.log.duration.prev10         2.6670   2.5238   -0.1432          0.3392   -0.1982 -0.4222        
ave.outcome.prev10              0.1840   0.2292   0.0453           0.0457   0.2430  0.9911         
---Overall Test---
      chisquare df p.value
strat      6.55  6   0.365
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.591   0.591 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.18421895 37.27672855  0.06642125 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1715812 40.2967872  0.1123703 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 14.645407   1.776634   5.293214 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.6079456  1.1687461  0.9342991 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs TRUE ***


Wed Apr 22 12:33:09 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.637272e-02  5.015448e-02  5.725691e-02  5.973760e-02  6.934901e-02  1.115036e-01  2.290227e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.879704e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.736124e-01  4.962752e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.948149e-01  6.333503e-01  6.607592e-01  6.607592e-01  6.918696e-01  8.474885e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.496145e-02  7.881964e-02  8.667940e-02  9.619776e-02  9.625200e-02  1.023643e-01  1.441787e-01  2.023213e-01  2.158681e-01  2.485482e-01  2.485482e-01  2.553463e-01  2.553463e-01  2.569582e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.903371e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.706572e-01  8.454552e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	7.030751e-02  7.178562e-02  8.200548e-02  9.982107e-02  1.135965e-01  1.751370e-01  2.403359e-01  2.485482e-01  2.485482e-01  2.553463e-01  2.553463e-01  2.780390e-01  3.057991e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.518678e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.676680e-01  6.992570e-01  8.063342e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.030751e-02  7.178562e-02  8.200548e-02  9.982107e-02  1.135965e-01  1.751370e-01  2.403359e-01  2.485482e-01  2.485482e-01  2.553463e-01  2.553463e-01  2.780390e-01  3.057991e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.518678e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.676680e-01  6.992570e-01  8.063342e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.018360e+02
 X[ 2] :	9.337429e+02
 X[ 3] :	7.168440e+02
 X[ 4] :	3.818509e+02
 X[ 5] :	4.400793e+02
 X[ 6] :	5.732680e+02
 X[ 7] :	5.406124e+00
 X[ 8] :	2.847868e+02
 X[ 9] :	3.071846e+02
 X[10] :	8.377607e+02
 X[11] :	6.014820e+02
 X[12] :	1.984477e+02
 X[13] :	9.393494e+02
 X[14] :	1.798169e+02
 X[15] :	9.427232e+02
 X[16] :	3.908932e+01
 X[17] :	8.772446e+02
 X[18] :	7.438596e+02
 X[19] :	1.062307e+02
 X[20] :	8.789680e+01

Solution Found Generation 2
Number of Generations Run 13

Wed Apr 22 12:54:30 2015
Total run time : 0 hours 21 minutes and 21 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13      Buchanan         6          5
8       Truman         6          4          Ford         4          4
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10         Obama         4          3
12 Bush, G. W.        24         20         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.66667 
std mean diff.........    -12.488 	 	    -31.914 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.083333 
med  eCDF diff........   0.032609 	 	   0.083333 
max  eCDF diff........   0.065217 	 	    0.16667 

var ratio (Tr/Co).....     1.0615 	 	      1.125 
T-test p-value........    0.72657 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1924.5 
std mean diff.........    -16.807 	 	    -33.714 

mean raw eQQ diff.....     22.333 	 	     25.167 
med  raw eQQ diff.....         25 	 	         24 
max  raw eQQ diff.....         40 	 	         56 

mean eCDF diff........    0.13064 	 	    0.12083 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.4593 
T-test p-value........    0.60921 	 	   0.082005 
KS Bootstrap p-value..      0.115 	 	      0.429 
KS Naive p-value......    0.15042 	 	    0.51755 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.33333 
std mean diff.........    -11.962 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	     1.0938 
T-test p-value........     0.7394 	 	    0.31868 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.6419 
std mean diff.........    -18.944 	 	      7.217 

mean raw eQQ diff.....    0.27313 	 	      0.256 
med  raw eQQ diff.....    0.12783 	 	    0.25541 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.071084 	 	   0.077381 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.3461 
T-test p-value........    0.57974 	 	    0.80633 
KS Bootstrap p-value..      0.713 	 	      0.755 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	        8.5 
std mean diff.........    -4.2846 	 	    -13.722 

mean raw eQQ diff.....     1.1667 	 	     2.0833 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          2 	 	          5 

mean eCDF diff........   0.074638 	 	    0.10714 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.4066 
T-test p-value........    0.90175 	 	    0.27804 
KS Bootstrap p-value..       0.63 	 	      0.714 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     4.5129 
std mean diff.........     34.141 	 	     54.697 

mean raw eQQ diff.....     1.5179 	 	     2.1287 
med  raw eQQ diff.....     1.1184 	 	     1.6304 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.25595 
med  eCDF diff........     0.1413 	 	    0.29167 
max  eCDF diff........    0.28261 	 	    0.41667 

var ratio (Tr/Co).....    0.93323 	 	    0.62644 
T-test p-value........    0.35334 	 	    0.24034 
KS Bootstrap p-value..      0.314 	 	      0.189 
KS Naive p-value......    0.55458 	 	    0.24855 
KS Statistic..........    0.28261 	 	    0.41667 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	     0.3741 
std mean diff.........     93.462 	 	     50.496 

mean raw eQQ diff.....    0.32138 	 	    0.18488 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.11806 
med  eCDF diff........    0.33333 	 	   0.083333 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.3582 
T-test p-value........   0.010188 	 	   0.070308 
KS Bootstrap p-value..      0.012 	 	      0.379 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3718 
std mean diff.........    -106.48 	 	    -79.405 

mean raw eQQ diff.....     1.0986 	 	    0.81466 
med  raw eQQ diff.....    0.82975 	 	     0.6365 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.21422 	 	    0.21569 
med  eCDF diff........    0.21196 	 	       0.25 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	    0.88493 
T-test p-value........   0.012752 	 	   0.071786 
KS Bootstrap p-value..      0.106 	 	      0.191 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.19663 
std mean diff.........     32.426 	 	     24.766 

mean raw eQQ diff.....    0.11499 	 	   0.094736 
med  raw eQQ diff.....   0.047149 	 	   0.048935 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.082952 	 	   0.098485 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     1.7964 
T-test p-value........    0.31442 	 	    0.17514 
KS Bootstrap p-value..      0.616 	 	      0.667 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31984 
std mean diff.........     45.889 	 	     31.407 

mean raw eQQ diff.....    0.12651 	 	   0.078445 
med  raw eQQ diff.....    0.11277 	 	   0.050974 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	   0.088235 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	       0.25 

var ratio (Tr/Co).....     1.1687 	 	      2.248 
T-test p-value........    0.20051 	 	     0.1136 
KS Bootstrap p-value..      0.011 	 	      0.757 
KS Naive p-value......   0.025736 	 	    0.84749 
KS Statistic..........    0.52536 	 	       0.25 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6561 
std mean diff.........    -73.948 	 	    -26.122 

mean raw eQQ diff.....     0.6649 	 	    0.25624 
med  raw eQQ diff.....    0.51242 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.12281 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.61275 
T-test p-value........    0.17165 	 	    0.45187 
KS Bootstrap p-value..      0.198 	 	       0.44 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17521 
std mean diff.........     19.981 	 	     27.531 

mean raw eQQ diff.....   0.054514 	 	   0.073874 
med  raw eQQ diff.....   0.052778 	 	    0.08141 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	     0.1369 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.1115 
T-test p-value........    0.56362 	 	   0.099821 
KS Bootstrap p-value..      0.642 	 	      0.421 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -3.8361 
std mean diff.........    -57.455 	 	    -7.3553 

mean raw eQQ diff.....     1.4371 	 	    0.76331 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.14457 	 	      0.075 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	    0.16667 

var ratio (Tr/Co).....     1.5033 	 	     1.7178 
T-test p-value........    0.10279 	 	    0.69926 
KS Bootstrap p-value..      0.061 	 	      0.951 
KS Naive p-value......    0.16323 	 	    0.99626 
KS Statistic..........    0.39855 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     38.234 
std mean diff.........    -14.667 	 	    -18.799 

mean raw eQQ diff.....     4.5876 	 	     4.9187 
med  raw eQQ diff.....     4.6477 	 	     3.7462 
max  raw eQQ diff.....     13.667 	 	     15.236 

mean eCDF diff........   0.064651 	 	   0.093137 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	    0.68685 
T-test p-value........    0.68804 	 	     0.3058 
KS Bootstrap p-value..      0.823 	 	      0.738 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	       0.25 
std mean diff.........     13.369 	 	     32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.083333 
med  eCDF diff........    0.03442 	 	   0.083333 
max  eCDF diff........   0.068841 	 	    0.16667 

var ratio (Tr/Co).....     1.1181 	 	     1.2963 
T-test p-value........    0.70594 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	      18.25 
std mean diff.........     3.2569 	 	    -8.5123 

mean raw eQQ diff.....     2.8333 	 	     3.4167 
med  raw eQQ diff.....        2.5 	 	        2.5 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.058959 	 	   0.077778 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	       1.22 
T-test p-value........    0.92529 	 	    0.56767 
KS Bootstrap p-value..       0.84 	 	      0.969 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	    0.58333 
std mean diff.........      135.9 	 	     64.226 

mean raw eQQ diff.....        0.5 	 	       0.25 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	      0.125 
med  eCDF diff........    0.26449 	 	      0.125 
max  eCDF diff........    0.52899 	 	       0.25 

var ratio (Tr/Co).....    0.68452 	 	    0.57143 
T-test p-value........  0.0014797 	 	    0.25535 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.070308 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	     0.3741 
std mean diff.........     93.462 	 	     50.496 

mean raw eQQ diff.....    0.32138 	 	    0.18488 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.11806 
med  eCDF diff........    0.33333 	 	   0.083333 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     2.3582 
T-test p-value........   0.010188 	 	   0.070308 
KS Bootstrap p-value..      0.013 	 	      0.401 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3718 
std mean diff.........    -106.48 	 	    -79.405 

mean raw eQQ diff.....     1.0986 	 	    0.81466 
med  raw eQQ diff.....    0.82975 	 	     0.6365 
max  raw eQQ diff.....     2.3128 	 	     1.7432 

mean eCDF diff........    0.21422 	 	    0.21569 
med  eCDF diff........    0.21196 	 	       0.25 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....    0.56302 	 	    0.88493 
T-test p-value........   0.012752 	 	   0.071786 
KS Bootstrap p-value..      0.112 	 	      0.188 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.19663 
std mean diff.........     32.426 	 	     24.766 

mean raw eQQ diff.....    0.11499 	 	   0.094736 
med  raw eQQ diff.....   0.047149 	 	   0.048935 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.082952 	 	   0.098485 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     1.7964 
T-test p-value........    0.31442 	 	    0.17514 
KS Bootstrap p-value..      0.619 	 	      0.661 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31984 
std mean diff.........     45.889 	 	     31.407 

mean raw eQQ diff.....    0.12651 	 	   0.078445 
med  raw eQQ diff.....    0.11277 	 	   0.050974 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	   0.088235 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	       0.25 

var ratio (Tr/Co).....     1.1687 	 	      2.248 
T-test p-value........    0.20051 	 	     0.1136 
KS Bootstrap p-value..      0.017 	 	       0.76 
KS Naive p-value......   0.025736 	 	    0.84749 
KS Statistic..........    0.52536 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6561 
std mean diff.........    -73.948 	 	    -26.122 

mean raw eQQ diff.....     0.6649 	 	    0.25624 
med  raw eQQ diff.....    0.51242 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.12281 
med  eCDF diff........    0.16123 	 	   0.083333 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.61275 
T-test p-value........    0.17165 	 	    0.45187 
KS Bootstrap p-value..      0.208 	 	      0.465 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.17521 
std mean diff.........     19.981 	 	     27.531 

mean raw eQQ diff.....   0.054514 	 	   0.073874 
med  raw eQQ diff.....   0.052778 	 	    0.08141 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	     0.1369 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.1115 
T-test p-value........    0.56362 	 	   0.099821 
KS Bootstrap p-value..      0.635 	 	      0.409 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.070308 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3741   0.5539   0.1798           0.1037   0.5984  1.7347  .      
ave.log.duration.prev5          2.3718   1.5572   -0.8147          0.4718   -0.7694 -1.7268 .      
ave.outcome.prev5               0.1966   0.2914   0.0947           0.0709   0.2807  1.3371         
ForceUS.prop.prev10             0.3198   0.3885   0.0686           0.0446   0.3695  1.5398         
ave.log.duration.prev10         2.6561   2.5238   -0.1323          0.1739   -0.2277 -0.7609        
ave.outcome.prev10              0.1752   0.2292   0.0540           0.0339   0.2825  1.5951         
---Overall Test---
      chisquare df p.value
strat      8.25  6   0.221
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     34 
$p.values
ForceUS     NPC 
  0.322   0.322 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22516835 35.06102694  0.04503367 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2423153 49.9577991  0.1808226 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 15.986953   1.808078   2.928451 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7418696  0.9606671  0.9542316 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs FALSE ***


Wed Apr 22 13:46:02 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.656808e-02  3.925347e-02  4.082947e-02  4.205132e-02  6.538865e-02  9.956185e-02  1.496097e-01  1.496097e-01  2.170334e-01  2.215219e-01  2.485482e-01  2.485482e-01  2.941632e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.314662e-01  4.374325e-01  4.576789e-01  4.735637e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.779198e-01  7.189524e-01  7.259910e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.656808e-02  4.705983e-02  6.538865e-02  7.187293e-02  9.956185e-02  1.496097e-01  1.496097e-01  1.705906e-01  2.260710e-01  2.485482e-01  2.485482e-01  2.958750e-01  3.183389e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.990173e-01  4.440272e-01  4.539016e-01  4.699415e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.854173e-01  7.139243e-01  7.527340e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	4.159003e-02  4.312837e-02  4.886457e-02  6.712185e-02  9.108621e-02  9.108621e-02  9.956185e-02  1.267443e-01  1.934395e-01  2.485482e-01  2.485482e-01  2.520499e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.326280e-01  3.891108e-01  4.306765e-01  4.547477e-01  4.844055e-01  4.985520e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.098740e-01  7.225405e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	4.371706e-02  5.030136e-02  7.431618e-02  7.628743e-02  9.108621e-02  9.108621e-02  1.267443e-01  1.575148e-01  1.844878e-01  2.485482e-01  2.485482e-01  3.139684e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.653396e-01  3.738037e-01  4.985520e-01  5.175508e-01  5.175508e-01  5.360978e-01  6.768688e-01  7.868362e-01  8.209944e-01  8.312656e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	4.371706e-02  5.030136e-02  8.744260e-02  9.108621e-02  9.108621e-02  1.267443e-01  1.531558e-01  1.774590e-01  1.872014e-01  2.485482e-01  2.485482e-01  2.975752e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.866659e-01  4.195823e-01  4.851738e-01  5.175508e-01  5.175508e-01  5.360978e-01  6.698634e-01  7.762764e-01  8.209944e-01  8.387433e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      6 	5.230248e-02  5.566911e-02  9.108621e-02  9.108621e-02  9.956185e-02  1.267443e-01  1.314875e-01  1.455666e-01  1.473380e-01  1.979510e-01  2.288327e-01  2.303361e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.069986e-01  4.549059e-01  5.013899e-01  5.175508e-01  5.360978e-01  5.491206e-01  6.607592e-01  6.607592e-01  7.711641e-01  8.368333e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.230248e-02  5.566911e-02  9.108621e-02  9.108621e-02  9.956185e-02  1.267443e-01  1.314875e-01  1.455666e-01  1.473380e-01  1.979510e-01  2.288327e-01  2.303361e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.069986e-01  4.549059e-01  5.013899e-01  5.175508e-01  5.360978e-01  5.491206e-01  6.607592e-01  6.607592e-01  7.711641e-01  8.368333e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.650178e+02
 X[ 2] :	8.338608e+02
 X[ 3] :	3.539226e+02
 X[ 4] :	2.716220e+02
 X[ 5] :	8.691146e+01
 X[ 6] :	6.833518e+02
 X[ 7] :	3.944279e+02
 X[ 8] :	5.323168e+02
 X[ 9] :	6.923522e+02
 X[10] :	8.179022e+01
 X[11] :	6.263058e+02
 X[12] :	7.050723e+02
 X[13] :	7.005131e+02
 X[14] :	4.353201e+01
 X[15] :	5.778902e+02
 X[16] :	3.778289e+02
 X[17] :	1.937010e+02
 X[18] :	8.293337e+02
 X[19] :	7.845306e+02
 X[20] :	1.980874e+02
 X[21] :	7.683776e+02
 X[22] :	9.893375e+02

Solution Found Generation 6
Number of Generations Run 17

Wed Apr 22 14:18:56 2015
Total run time : 0 hours 32 minutes and 54 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Van Buren         4          4
2       Monroe         6          6  Roosevelt, F.        10          8
3      Jackson         4          4          Grant         7          6
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Cleveland         9          6
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4        Kennedy         9          3
9  Johnson, L.        22         15          Obama         4          3
10      Carter         9          7           Ford         4          4
11     Clinton        24         10 Bush, G. H. W.         8          5
12 Bush, G. W.        24         20          Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.58333 
std mean diff.........    -12.488 	 	    -15.957 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.041667 
med  eCDF diff........   0.032609 	 	   0.041667 
max  eCDF diff........   0.065217 	 	   0.083333 

var ratio (Tr/Co).....     1.0615 	 	     1.0286 
T-test p-value........    0.72657 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     21.813 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.056159 	 	          0 
med  eCDF diff........   0.056159 	 	          0 
max  eCDF diff........    0.11232 	 	          0 

var ratio (Tr/Co).....     1.1979 	 	          1 
T-test p-value........    0.53517 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1922.1 
std mean diff.........    -16.807 	 	    -30.411 

mean raw eQQ diff.....     22.333 	 	     23.417 
med  raw eQQ diff.....         25 	 	         24 
max  raw eQQ diff.....         40 	 	         40 

mean eCDF diff........    0.13064 	 	    0.11806 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.6193 
T-test p-value........    0.60921 	 	   0.055669 
KS Bootstrap p-value..      0.115 	 	      0.449 
KS Naive p-value......    0.15042 	 	     0.5361 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.41667 
std mean diff.........    -11.962 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.030797 	 	          0 
med  eCDF diff........   0.030797 	 	          0 
max  eCDF diff........   0.061594 	 	          0 

var ratio (Tr/Co).....     1.0164 	 	          1 
T-test p-value........     0.7394 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.9006 
std mean diff.........    -18.944 	 	    -12.966 

mean raw eQQ diff.....    0.27313 	 	    0.27375 
med  raw eQQ diff.....    0.12783 	 	     0.2695 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.071084 	 	   0.083333 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	    0.16667 

var ratio (Tr/Co).....     1.4627 	 	     1.2372 
T-test p-value........    0.57974 	 	    0.77116 
KS Bootstrap p-value..      0.713 	 	      0.977 
KS Naive p-value......    0.91286 	 	    0.99626 
KS Statistic..........    0.19928 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     9.6667 
std mean diff.........    -4.2846 	 	    -31.185 

mean raw eQQ diff.....     1.1667 	 	     2.4167 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          2 	 	          9 

mean eCDF diff........   0.074638 	 	    0.11905 
med  eCDF diff........   0.057971 	 	      0.125 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	    0.87248 
T-test p-value........    0.90175 	 	    0.19795 
KS Bootstrap p-value..       0.63 	 	      0.719 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.3201 
std mean diff.........     34.141 	 	     21.135 

mean raw eQQ diff.....     1.5179 	 	     1.3219 
med  raw eQQ diff.....     1.1184 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.14216 
med  eCDF diff........     0.1413 	 	    0.16667 
max  eCDF diff........    0.28261 	 	       0.25 

var ratio (Tr/Co).....    0.93323 	 	    0.63879 
T-test p-value........    0.35334 	 	    0.54912 
KS Bootstrap p-value..      0.314 	 	      0.733 
KS Naive p-value......    0.55458 	 	    0.84749 
KS Statistic..........    0.28261 	 	       0.25 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.27534 
std mean diff.........     93.462 	 	     78.226 

mean raw eQQ diff.....    0.32138 	 	    0.27859 
med  raw eQQ diff.....    0.27444 	 	    0.23158 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33802 	 	    0.23214 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	      2.506 
T-test p-value........   0.010188 	 	   0.052302 
KS Bootstrap p-value..      0.012 	 	      0.409 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0888 
std mean diff.........    -106.48 	 	    -51.816 

mean raw eQQ diff.....     1.0986 	 	    0.53161 
med  raw eQQ diff.....    0.82975 	 	    0.32991 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	    0.11111 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.83662 
T-test p-value........   0.012752 	 	    0.23034 
KS Bootstrap p-value..      0.106 	 	       0.78 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.20913 
std mean diff.........     32.426 	 	     21.499 

mean raw eQQ diff.....    0.11499 	 	     0.0936 
med  raw eQQ diff.....   0.047149 	 	  0.0096491 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.059524 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     2.3703 
T-test p-value........    0.31442 	 	    0.50139 
KS Bootstrap p-value..      0.616 	 	      0.946 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.27254 
std mean diff.........     45.889 	 	     53.057 

mean raw eQQ diff.....    0.12651 	 	    0.11592 
med  raw eQQ diff.....    0.11277 	 	   0.094818 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	        0.2 
med  eCDF diff........    0.16667 	 	    0.16667 
max  eCDF diff........    0.52536 	 	        0.5 

var ratio (Tr/Co).....     1.1687 	 	     2.1459 
T-test p-value........    0.20051 	 	    0.13149 
KS Bootstrap p-value..      0.011 	 	      0.087 
KS Naive p-value......   0.025736 	 	   0.099562 
KS Statistic..........    0.52536 	 	        0.5 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.4825 
std mean diff.........    -73.948 	 	     8.1587 

mean raw eQQ diff.....     0.6649 	 	    0.38259 
med  raw eQQ diff.....    0.51242 	 	    0.21379 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.16304 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	    0.47714 
T-test p-value........    0.17165 	 	    0.83683 
KS Bootstrap p-value..      0.198 	 	      0.195 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.18464 
std mean diff.........     19.981 	 	     22.724 

mean raw eQQ diff.....   0.054514 	 	    0.06444 
med  raw eQQ diff.....   0.052778 	 	   0.054949 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.11275 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	      1.373 
T-test p-value........    0.56362 	 	    0.14734 
KS Bootstrap p-value..      0.642 	 	       0.78 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -2.7604 
std mean diff.........    -57.455 	 	    -47.176 

mean raw eQQ diff.....     1.4371 	 	     1.2888 
med  raw eQQ diff.....     1.2586 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.14457 	 	    0.11667 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....     1.5033 	 	     1.2947 
T-test p-value........    0.10279 	 	    0.12674 
KS Bootstrap p-value..      0.061 	 	      0.649 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     40.116 
std mean diff.........    -14.667 	 	    -28.802 

mean raw eQQ diff.....     4.5876 	 	     5.7014 
med  raw eQQ diff.....     4.6477 	 	     5.4095 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064651 	 	   0.087302 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	    0.83491 
T-test p-value........    0.68804 	 	    0.22883 
KS Bootstrap p-value..      0.823 	 	      0.767 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	    0.33333 
std mean diff.........     13.369 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.041667 
med  eCDF diff........    0.03442 	 	   0.041667 
max  eCDF diff........   0.068841 	 	   0.083333 

var ratio (Tr/Co).....     1.1181 	 	     1.0938 
T-test p-value........    0.70594 	 	    0.66076 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	       20.5 
std mean diff.........     3.2569 	 	    -23.835 

mean raw eQQ diff.....     2.8333 	 	        3.5 
med  raw eQQ diff.....        2.5 	 	          1 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.058959 	 	   0.060185 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	    0.80271 
T-test p-value........    0.92529 	 	    0.14557 
KS Bootstrap p-value..       0.84 	 	      0.981 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	        0.5 
std mean diff.........      135.9 	 	     85.635 

mean raw eQQ diff.....        0.5 	 	    0.33333 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	    0.16667 
med  eCDF diff........    0.26449 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....    0.68452 	 	    0.55556 
T-test p-value........  0.0014797 	 	   0.091086 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.34009 	 	    0.38128 
std mean diff.........     25.777 	 	     20.562 

mean raw eQQ diff.....    0.23001 	 	    0.21976 
med  raw eQQ diff.....   0.064779 	 	   0.045288 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........   0.075974 	 	   0.054348 
med  eCDF diff........   0.070652 	 	   0.083333 
max  eCDF diff........     0.2029 	 	    0.16667 

var ratio (Tr/Co).....     12.855 	 	     9.5462 
T-test p-value........     0.3987 	 	      0.407 
KS Bootstrap p-value..      0.739 	 	      0.991 
KS Naive p-value......    0.90161 	 	    0.99626 
KS Statistic..........     0.2029 	 	    0.16667 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........    0.55435 	 	    0.58333 
std mean diff.........     34.489 	 	     25.588 

mean raw eQQ diff.....    0.14583 	 	      0.125 
med  raw eQQ diff.....      0.125 	 	          0 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.11304 	 	        0.1 
med  eCDF diff........    0.14855 	 	   0.083333 
max  eCDF diff........    0.18116 	 	    0.16667 

var ratio (Tr/Co).....      0.603 	 	    0.57143 
T-test p-value........    0.38918 	 	    0.45491 
KS Bootstrap p-value..      0.599 	 	      0.877 
KS Naive p-value......    0.95809 	 	    0.99626 
KS Statistic..........    0.18116 	 	    0.16667 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.052302 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.27534 
std mean diff.........     93.462 	 	     78.226 

mean raw eQQ diff.....    0.32138 	 	    0.27859 
med  raw eQQ diff.....    0.27444 	 	    0.23158 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.33802 	 	    0.23214 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	      2.506 
T-test p-value........   0.010188 	 	   0.052302 
KS Bootstrap p-value..      0.013 	 	      0.403 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0888 
std mean diff.........    -106.48 	 	    -51.816 

mean raw eQQ diff.....     1.0986 	 	    0.53161 
med  raw eQQ diff.....    0.82975 	 	    0.32991 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	    0.11111 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.83662 
T-test p-value........   0.012752 	 	    0.23034 
KS Bootstrap p-value..      0.112 	 	      0.774 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.20913 
std mean diff.........     32.426 	 	     21.499 

mean raw eQQ diff.....    0.11499 	 	     0.0936 
med  raw eQQ diff.....   0.047149 	 	  0.0096491 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.059524 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     2.3703 
T-test p-value........    0.31442 	 	    0.50139 
KS Bootstrap p-value..      0.619 	 	      0.949 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.27254 
std mean diff.........     45.889 	 	     53.057 

mean raw eQQ diff.....    0.12651 	 	    0.11592 
med  raw eQQ diff.....    0.11277 	 	   0.094818 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	        0.2 
med  eCDF diff........    0.16667 	 	    0.16667 
max  eCDF diff........    0.52536 	 	        0.5 

var ratio (Tr/Co).....     1.1687 	 	     2.1459 
T-test p-value........    0.20051 	 	    0.13149 
KS Bootstrap p-value..      0.017 	 	      0.068 
KS Naive p-value......   0.025736 	 	   0.099562 
KS Statistic..........    0.52536 	 	        0.5 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.4825 
std mean diff.........    -73.948 	 	     8.1587 

mean raw eQQ diff.....     0.6649 	 	    0.38259 
med  raw eQQ diff.....    0.51242 	 	    0.21379 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.16304 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	    0.47714 
T-test p-value........    0.17165 	 	    0.83683 
KS Bootstrap p-value..      0.208 	 	      0.243 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.18464 
std mean diff.........     19.981 	 	     22.724 

mean raw eQQ diff.....   0.054514 	 	    0.06444 
med  raw eQQ diff.....   0.052778 	 	   0.054949 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	    0.11275 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	      1.373 
T-test p-value........    0.56362 	 	    0.14734 
KS Bootstrap p-value..      0.635 	 	      0.758 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.052302 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2753   0.5539   0.2786           0.1512   0.9353  1.8421  .      
ave.log.duration.prev5          2.0888   1.5572   -0.5316          0.4459   -0.4946 -1.1923        
ave.outcome.prev5               0.2091   0.2914   0.0822           0.1207   0.2550  0.6816         
ForceUS.prop.prev10             0.2725   0.3885   0.1159           0.0786   0.6197  1.4745         
ave.log.duration.prev10         2.4825   2.5238   0.0413           0.1963   0.0656  0.2105         
ave.outcome.prev10              0.1846   0.2292   0.0446           0.0314   0.2444  1.4215         
---Overall Test---
      chisquare df p.value
strat      7.14  6   0.308
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     27 
$p.values
ForceUS     NPC 
   0.22    0.22 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.18722057 44.24347988  0.09482116 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2282942 52.8465558  0.2026480 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 13.947932   2.118799   6.994784 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.710981   1.397262   1.433572 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs TRUE ***


Wed Apr 22 15:15:59 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.856343e-02  5.110515e-02  5.493797e-02  6.384093e-02  8.282139e-02  1.242067e-01  1.496097e-01  1.496097e-01  1.657354e-01  1.851263e-01  2.341847e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.541492e-01  2.933340e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.385699e-01  4.961254e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.184872e-01  7.837343e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.414301e-02  6.610284e-02  9.145755e-02  9.956185e-02  1.105158e-01  2.046642e-01  2.485482e-01  2.485482e-01  2.976430e-01  3.045980e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  5.175508e-01  5.175508e-01  5.272500e-01  5.420182e-01  5.700023e-01  5.700023e-01  5.955922e-01  6.675032e-01  6.863306e-01  8.113142e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.987145e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	7.790150e-02  8.153215e-02  9.145755e-02  9.956185e-02  1.552144e-01  1.735471e-01  1.735471e-01  2.043781e-01  2.485482e-01  2.485482e-01  2.833768e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.333276e-01  5.175508e-01  5.175508e-01  5.605859e-01  6.117672e-01  6.677329e-01  6.974499e-01  7.133801e-01  8.168811e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.109514e-01  9.806132e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.790150e-02  8.153215e-02  9.145755e-02  9.956185e-02  1.552144e-01  1.735471e-01  1.735471e-01  2.043781e-01  2.485482e-01  2.485482e-01  2.833768e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.333276e-01  5.175508e-01  5.175508e-01  5.605859e-01  6.117672e-01  6.677329e-01  6.974499e-01  7.133801e-01  8.168811e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.109514e-01  9.806132e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.739617e+02
 X[ 2] :	6.006393e+01
 X[ 3] :	5.266134e+02
 X[ 4] :	8.111273e+02
 X[ 5] :	9.483523e+02
 X[ 6] :	2.840454e+02
 X[ 7] :	3.342035e+01
 X[ 8] :	9.018660e+01
 X[ 9] :	9.158745e+02
 X[10] :	7.751899e+02
 X[11] :	5.827167e+02
 X[12] :	1.445067e+01
 X[13] :	1.562845e+02
 X[14] :	2.552534e+02
 X[15] :	7.830060e+02
 X[16] :	5.465872e+01
 X[17] :	3.493229e+02
 X[18] :	7.944704e+01
 X[19] :	4.306229e+02
 X[20] :	2.363637e+02
 X[21] :	8.655931e+02
 X[22] :	4.408907e+02

Solution Found Generation 2
Number of Generations Run 13

Wed Apr 22 15:41:58 2015
Total run time : 0 hours 25 minutes and 59 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Grant         7          6
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4      Coolidge         1          1
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5         Grant         7          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7 Roosevelt, F.        10          8
11     Clinton        24         10         Obama         4          3
12 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.58333 
std mean diff.........    -12.488 	 	    -15.957 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.041667 
med  eCDF diff........   0.032609 	 	   0.041667 
max  eCDF diff........   0.065217 	 	   0.083333 

var ratio (Tr/Co).....     1.0615 	 	     1.0286 
T-test p-value........    0.72657 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.33333 
std mean diff.........     21.813 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.056159 	 	   0.041667 
med  eCDF diff........   0.056159 	 	   0.041667 
max  eCDF diff........    0.11232 	 	   0.083333 

var ratio (Tr/Co).....     1.1979 	 	     1.0938 
T-test p-value........    0.53517 	 	    0.31868 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1920.8 
std mean diff.........    -16.807 	 	    -28.702 

mean raw eQQ diff.....     22.333 	 	     23.333 
med  raw eQQ diff.....         25 	 	         22 
max  raw eQQ diff.....         40 	 	         58 

mean eCDF diff........    0.13064 	 	    0.13333 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.4632 
T-test p-value........    0.60921 	 	   0.081532 
KS Bootstrap p-value..      0.115 	 	      0.427 
KS Naive p-value......    0.15042 	 	    0.51755 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.41667 
std mean diff.........    -11.962 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.030797 	 	          0 
med  eCDF diff........   0.030797 	 	          0 
max  eCDF diff........   0.061594 	 	          0 

var ratio (Tr/Co).....     1.0164 	 	          1 
T-test p-value........     0.7394 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.8331 
std mean diff.........    -18.944 	 	    -7.7013 

mean raw eQQ diff.....    0.27313 	 	    0.37016 
med  raw eQQ diff.....    0.12783 	 	    0.24958 
max  raw eQQ diff.....     1.0986 	 	     1.6094 

mean eCDF diff........   0.071084 	 	    0.10417 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.6712 
T-test p-value........    0.57974 	 	    0.71338 
KS Bootstrap p-value..      0.713 	 	      0.717 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     8.4167 
std mean diff.........    -4.2846 	 	    -12.474 

mean raw eQQ diff.....     1.1667 	 	     1.8333 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          2 	 	          5 

mean eCDF diff........   0.074638 	 	   0.088889 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.3832 
T-test p-value........    0.90175 	 	    0.56059 
KS Bootstrap p-value..       0.63 	 	      0.728 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	      6.379 
std mean diff.........     34.141 	 	     -22.89 

mean raw eQQ diff.....     1.5179 	 	     1.0543 
med  raw eQQ diff.....     1.1184 	 	     0.3217 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	   0.076923 
med  eCDF diff........     0.1413 	 	   0.083333 
max  eCDF diff........    0.28261 	 	    0.16667 

var ratio (Tr/Co).....    0.93323 	 	     0.4547 
T-test p-value........    0.35334 	 	    0.66773 
KS Bootstrap p-value..      0.314 	 	      0.956 
KS Naive p-value......    0.55458 	 	    0.99626 
KS Statistic..........    0.28261 	 	    0.16667 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.32036 
std mean diff.........     93.462 	 	     65.586 

mean raw eQQ diff.....    0.32138 	 	    0.23357 
med  raw eQQ diff.....    0.27444 	 	    0.21474 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.21795 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.41667 

var ratio (Tr/Co).....     2.0964 	 	     2.2876 
T-test p-value........   0.010188 	 	   0.077902 
KS Bootstrap p-value..      0.012 	 	      0.178 
KS Naive p-value......   0.024231 	 	    0.24855 
KS Statistic..........    0.52899 	 	    0.41667 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0322 
std mean diff.........    -106.48 	 	    -46.299 

mean raw eQQ diff.....     1.0986 	 	    0.53941 
med  raw eQQ diff.....    0.82975 	 	    0.10632 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	   0.078704 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	     1.4609 
T-test p-value........   0.012752 	 	    0.15521 
KS Bootstrap p-value..      0.106 	 	      0.746 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.22196 
std mean diff.........     32.426 	 	     18.143 

mean raw eQQ diff.....    0.11499 	 	    0.12243 
med  raw eQQ diff.....   0.047149 	 	   0.086081 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.076923 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.0954 
T-test p-value........    0.31442 	 	    0.28338 
KS Bootstrap p-value..      0.616 	 	      0.705 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.36617 
std mean diff.........     45.889 	 	     10.204 

mean raw eQQ diff.....    0.12651 	 	   0.073374 
med  raw eQQ diff.....    0.11277 	 	   0.053447 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19319 	 	   0.078704 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.3601 
T-test p-value........    0.20051 	 	    0.69745 
KS Bootstrap p-value..      0.011 	 	      0.419 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.5148 
std mean diff.........    -73.948 	 	     1.7865 

mean raw eQQ diff.....     0.6649 	 	    0.59677 
med  raw eQQ diff.....    0.51242 	 	    0.64316 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.22807 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	        0.5 

var ratio (Tr/Co).....    0.22107 	 	    0.26594 
T-test p-value........    0.17165 	 	    0.98061 
KS Bootstrap p-value..      0.198 	 	      0.073 
KS Naive p-value......    0.29579 	 	   0.099562 
KS Statistic..........    0.34783 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.21538 
std mean diff.........     19.981 	 	     7.0648 

mean raw eQQ diff.....   0.054514 	 	    0.10459 
med  raw eQQ diff.....   0.052778 	 	   0.092857 
max  raw eQQ diff.....    0.11538 	 	        0.2 

mean eCDF diff........   0.092305 	 	    0.13542 
med  eCDF diff........   0.083333 	 	      0.125 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.1287 
T-test p-value........    0.56362 	 	    0.81688 
KS Bootstrap p-value..      0.642 	 	      0.758 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -2.5996 
std mean diff.........    -57.455 	 	    -53.128 

mean raw eQQ diff.....     1.4371 	 	     1.4352 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.14457 	 	    0.14167 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	    0.41667 

var ratio (Tr/Co).....     1.5033 	 	     1.2134 
T-test p-value........    0.10279 	 	   0.091458 
KS Bootstrap p-value..      0.061 	 	      0.139 
KS Naive p-value......    0.16323 	 	    0.24855 
KS Statistic..........    0.39855 	 	    0.41667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     37.519 
std mean diff.........    -14.667 	 	    -15.001 

mean raw eQQ diff.....     4.5876 	 	     5.8674 
med  raw eQQ diff.....     4.6477 	 	     4.7727 
max  raw eQQ diff.....     13.667 	 	     13.714 

mean eCDF diff........   0.064651 	 	   0.083333 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	     1.3562 
T-test p-value........    0.68804 	 	    0.61177 
KS Bootstrap p-value..      0.823 	 	      0.759 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	    0.58333 
std mean diff.........     13.369 	 	    -32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.083333 
med  eCDF diff........    0.03442 	 	   0.083333 
max  eCDF diff........   0.068841 	 	    0.16667 

var ratio (Tr/Co).....     1.1181 	 	          1 
T-test p-value........    0.70594 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	     17.417 
std mean diff.........     3.2569 	 	    -2.8374 

mean raw eQQ diff.....     2.8333 	 	     2.9167 
med  raw eQQ diff.....        2.5 	 	          3 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.058959 	 	   0.083333 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	       0.25 

var ratio (Tr/Co).....     1.2665 	 	     1.4854 
T-test p-value........    0.92529 	 	    0.91095 
KS Bootstrap p-value..       0.84 	 	      0.728 
KS Naive p-value......    0.98082 	 	    0.84749 
KS Statistic..........    0.16667 	 	       0.25 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	    0.58333 
std mean diff.........      135.9 	 	     64.226 

mean raw eQQ diff.....        0.5 	 	       0.25 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	      0.125 
med  eCDF diff........    0.26449 	 	      0.125 
max  eCDF diff........    0.52899 	 	       0.25 

var ratio (Tr/Co).....    0.68452 	 	    0.57143 
T-test p-value........  0.0014797 	 	    0.17355 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.34009 	 	    0.35074 
std mean diff.........     25.777 	 	     24.429 

mean raw eQQ diff.....    0.23001 	 	    0.22281 
med  raw eQQ diff.....   0.064779 	 	   0.038746 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.075974 	 	   0.065789 
med  eCDF diff........   0.070652 	 	   0.083333 
max  eCDF diff........     0.2029 	 	    0.16667 

var ratio (Tr/Co).....     12.855 	 	     10.466 
T-test p-value........     0.3987 	 	    0.33333 
KS Bootstrap p-value..      0.739 	 	      0.983 
KS Naive p-value......    0.90161 	 	    0.99626 
KS Statistic..........     0.2029 	 	    0.16667 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........    0.55435 	 	     0.8125 
std mean diff.........     34.489 	 	     -44.78 

mean raw eQQ diff.....    0.14583 	 	    0.14583 
med  raw eQQ diff.....      0.125 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.11304 	 	    0.11667 
med  eCDF diff........    0.14855 	 	   0.083333 
max  eCDF diff........    0.18116 	 	       0.25 

var ratio (Tr/Co).....      0.603 	 	     1.1487 
T-test p-value........    0.38918 	 	    0.20438 
KS Bootstrap p-value..      0.599 	 	      0.506 
KS Naive p-value......    0.95809 	 	    0.84749 
KS Statistic..........    0.18116 	 	       0.25 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.073 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.32036 
std mean diff.........     93.462 	 	     65.586 

mean raw eQQ diff.....    0.32138 	 	    0.23357 
med  raw eQQ diff.....    0.27444 	 	    0.21474 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.21795 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.41667 

var ratio (Tr/Co).....     2.0964 	 	     2.2876 
T-test p-value........   0.010188 	 	   0.077902 
KS Bootstrap p-value..      0.013 	 	      0.187 
KS Naive p-value......   0.024231 	 	    0.24855 
KS Statistic..........    0.52899 	 	    0.41667 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.0322 
std mean diff.........    -106.48 	 	    -46.299 

mean raw eQQ diff.....     1.0986 	 	    0.53941 
med  raw eQQ diff.....    0.82975 	 	    0.10632 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21422 	 	   0.078704 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	     1.4609 
T-test p-value........   0.012752 	 	    0.15521 
KS Bootstrap p-value..      0.112 	 	      0.771 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.22196 
std mean diff.........     32.426 	 	     18.143 

mean raw eQQ diff.....    0.11499 	 	    0.12243 
med  raw eQQ diff.....   0.047149 	 	   0.086081 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	   0.076923 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.0954 
T-test p-value........    0.31442 	 	    0.28338 
KS Bootstrap p-value..      0.619 	 	      0.694 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.36617 
std mean diff.........     45.889 	 	     10.204 

mean raw eQQ diff.....    0.12651 	 	   0.073374 
med  raw eQQ diff.....    0.11277 	 	   0.053447 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.19319 	 	   0.078704 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.3601 
T-test p-value........    0.20051 	 	    0.69745 
KS Bootstrap p-value..      0.017 	 	      0.447 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.5148 
std mean diff.........    -73.948 	 	     1.7865 

mean raw eQQ diff.....     0.6649 	 	    0.59677 
med  raw eQQ diff.....    0.51242 	 	    0.64316 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15558 	 	    0.22807 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	        0.5 

var ratio (Tr/Co).....    0.22107 	 	    0.26594 
T-test p-value........    0.17165 	 	    0.98061 
KS Bootstrap p-value..      0.208 	 	       0.08 
KS Naive p-value......    0.29579 	 	   0.099562 
KS Statistic..........    0.34783 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.21538 
std mean diff.........     19.981 	 	     7.0648 

mean raw eQQ diff.....   0.054514 	 	    0.10459 
med  raw eQQ diff.....   0.052778 	 	   0.092857 
max  raw eQQ diff.....    0.11538 	 	        0.2 

mean eCDF diff........   0.092305 	 	    0.13542 
med  eCDF diff........   0.083333 	 	      0.125 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.1287 
T-test p-value........    0.56362 	 	    0.81688 
KS Bootstrap p-value..      0.635 	 	      0.751 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.077902 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.32036  0.55393  0.23357          0.13777  0.77370  1.69533  .       
ave.log.duration.prev5         2.03216  1.55715  -0.47501         0.34013  -0.50449 -1.39657         
ave.outcome.prev5              0.22196  0.29136  0.06940          0.06471  0.21111  1.07245          
ForceUS.prop.prev10            0.36617  0.38846  0.02229          0.05623  0.10955  0.39649          
ave.log.duration.prev10        2.51476  2.52381  0.00905          0.36405  0.01158  0.02486          
ave.outcome.prev10             0.21538  0.22924  0.01387          0.05860  0.07275  0.23662          
---Overall Test---
      chisquare df p.value
strat      6.28  6   0.393
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     11 
$p.values
ForceUS     NPC 
   0.73    0.73 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1672078 21.3392857  0.0762987 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1439026 20.9170253  0.1098901 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
13.7946429  0.8899843  6.3068182 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.4274214  0.5558858  0.9099976 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs FALSE ***


Wed Apr 22 16:38:24 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.634443e-02  7.024858e-02  8.613648e-02  9.108621e-02  9.108621e-02  1.329533e-01  2.010771e-01  2.144732e-01  2.485482e-01  2.485482e-01  2.678572e-01  2.840748e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.393758e-01  3.451486e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.610483e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.024546e-01  6.253955e-01  6.435046e-01  7.670886e-01  8.427444e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

      1 	4.159003e-02  4.312837e-02  4.886457e-02  6.712185e-02  9.108621e-02  9.108621e-02  9.956185e-02  1.267443e-01  1.934395e-01  2.485482e-01  2.485482e-01  2.520499e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.326280e-01  3.891108e-01  4.187013e-01  4.187013e-01  4.306765e-01  4.547477e-01  4.844055e-01  4.985520e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.290097e-01  7.098740e-01  7.225405e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.889787e-02  6.450766e-02  9.108621e-02  9.108621e-02  1.143698e-01  1.326034e-01  1.496097e-01  1.496097e-01  1.830545e-01  1.929962e-01  2.165068e-01  2.485482e-01  2.876075e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.448436e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.131884e-01  6.371817e-01  6.435046e-01  6.682231e-01  7.933578e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.657818e-01  9.131073e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

      3 	4.900510e-02  6.044750e-02  6.314074e-02  9.108621e-02  9.108621e-02  1.134248e-01  1.398582e-01  2.241759e-01  2.294145e-01  2.485482e-01  3.159849e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.609842e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.394974e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.992909e-01  6.340796e-01  7.561881e-01  8.053830e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.793540e-01  8.826364e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

      4 	5.335522e-02  6.883228e-02  8.903126e-02  9.108621e-02  9.108621e-02  1.218818e-01  1.496097e-01  1.496097e-01  1.973427e-01  2.090625e-01  2.148165e-01  2.485482e-01  2.675094e-01  2.823600e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.992909e-01  6.099298e-01  6.145003e-01  6.607592e-01  6.607592e-01  6.614611e-01  7.904014e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.644650e-01  9.132019e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.335522e-02  6.883228e-02  8.903126e-02  9.108621e-02  9.108621e-02  1.218818e-01  1.496097e-01  1.496097e-01  1.973427e-01  2.090625e-01  2.148165e-01  2.485482e-01  2.675094e-01  2.823600e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.360978e-01  5.700023e-01  5.700023e-01  5.992909e-01  6.099298e-01  6.145003e-01  6.607592e-01  6.607592e-01  6.614611e-01  7.904014e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.644650e-01  9.132019e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.362804e+02
 X[ 2] :	3.401203e+02
 X[ 3] :	1.269284e+02
 X[ 4] :	4.859422e+02
 X[ 5] :	3.182897e+02
 X[ 6] :	7.840734e+02
 X[ 7] :	3.512277e+02
 X[ 8] :	3.557960e+02
 X[ 9] :	2.805863e+02
 X[10] :	3.026748e+02
 X[11] :	3.390497e+02
 X[12] :	2.840553e+02
 X[13] :	5.516783e+02
 X[14] :	2.969123e+02
 X[15] :	4.812476e+01
 X[16] :	3.564782e+02
 X[17] :	5.664176e+02
 X[18] :	1.206074e+02
 X[19] :	2.609906e+02
 X[20] :	1.110453e+02
 X[21] :	9.662964e+02
 X[22] :	8.596234e+02
 X[23] :	1.375819e+02
 X[24] :	7.999514e+02

Solution Found Generation 4
Number of Generations Run 15

Wed Apr 22 17:10:06 2015
Total run time : 0 hours 31 minutes and 42 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1       Harding         1          1
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7      McKinley         3          1
11     Clinton        24         10        Reagan        33         24
12 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	    0.66667 
std mean diff.........    -12.488 	 	    -31.914 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	   0.083333 
med  eCDF diff........   0.032609 	 	   0.083333 
max  eCDF diff........   0.065217 	 	    0.16667 

var ratio (Tr/Co).....     1.0615 	 	      1.125 
T-test p-value........    0.72657 	 	    0.14961 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.33333 
std mean diff.........     21.813 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.056159 	 	   0.041667 
med  eCDF diff........   0.056159 	 	   0.041667 
max  eCDF diff........    0.11232 	 	   0.083333 

var ratio (Tr/Co).....     1.1979 	 	     1.0938 
T-test p-value........    0.53517 	 	    0.31868 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	     1918.3 
std mean diff.........    -16.807 	 	    -25.285 

mean raw eQQ diff.....     22.333 	 	     24.167 
med  raw eQQ diff.....         25 	 	         20 
max  raw eQQ diff.....         40 	 	         52 

mean eCDF diff........    0.13064 	 	    0.11806 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.33333 

var ratio (Tr/Co).....     2.0977 	 	     1.8732 
T-test p-value........    0.60921 	 	    0.21482 
KS Bootstrap p-value..      0.115 	 	       0.46 
KS Naive p-value......    0.15042 	 	     0.5361 
KS Statistic..........    0.37319 	 	    0.33333 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	        0.5 
std mean diff.........    -11.962 	 	    -16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	    0.97222 
T-test p-value........     0.7394 	 	    0.31868 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.9607 
std mean diff.........    -18.944 	 	    -17.649 

mean raw eQQ diff.....    0.27313 	 	    0.30233 
med  raw eQQ diff.....    0.12783 	 	    0.18051 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.071084 	 	   0.077381 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.2668 
T-test p-value........    0.57974 	 	    0.66146 
KS Bootstrap p-value..      0.713 	 	      0.732 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	       9.25 
std mean diff.........    -4.2846 	 	    -24.948 

mean raw eQQ diff.....     1.1667 	 	     1.8333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          2 	 	          4 

mean eCDF diff........   0.074638 	 	    0.10556 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	       1.11 
T-test p-value........    0.90175 	 	    0.20906 
KS Bootstrap p-value..       0.63 	 	      0.749 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	     5.7401 
std mean diff.........     34.141 	 	     3.6712 

mean raw eQQ diff.....     1.5179 	 	    0.90189 
med  raw eQQ diff.....     1.1184 	 	    0.58316 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	   0.078431 
med  eCDF diff........     0.1413 	 	   0.083333 
max  eCDF diff........    0.28261 	 	    0.16667 

var ratio (Tr/Co).....    0.93323 	 	    0.63437 
T-test p-value........    0.35334 	 	     0.9132 
KS Bootstrap p-value..      0.314 	 	      0.973 
KS Naive p-value......    0.55458 	 	    0.99626 
KS Statistic..........    0.28261 	 	    0.16667 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.33362 
std mean diff.........     93.462 	 	     61.863 

mean raw eQQ diff.....    0.32138 	 	    0.22031 
med  raw eQQ diff.....    0.27444 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.20556 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.6437 
T-test p-value........   0.010188 	 	   0.053355 
KS Bootstrap p-value..      0.012 	 	        0.4 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3957 
std mean diff.........    -106.48 	 	    -81.738 

mean raw eQQ diff.....     1.0986 	 	    0.83859 
med  raw eQQ diff.....    0.82975 	 	    0.68718 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	    0.11742 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.66665 
T-test p-value........   0.012752 	 	   0.068832 
KS Bootstrap p-value..      0.106 	 	      0.781 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.17001 
std mean diff.........     32.426 	 	     31.723 

mean raw eQQ diff.....    0.11499 	 	    0.12135 
med  raw eQQ diff.....   0.047149 	 	   0.080128 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	    0.11111 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.1822 
T-test p-value........    0.31442 	 	    0.26751 
KS Bootstrap p-value..      0.616 	 	      0.699 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31408 
std mean diff.........     45.889 	 	     34.045 

mean raw eQQ diff.....    0.12651 	 	   0.091048 
med  raw eQQ diff.....    0.11277 	 	   0.074537 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.14286 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.3837 
T-test p-value........    0.20051 	 	    0.19734 
KS Bootstrap p-value..      0.011 	 	      0.206 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6576 
std mean diff.........    -73.948 	 	    -26.405 

mean raw eQQ diff.....     0.6649 	 	    0.47793 
med  raw eQQ diff.....    0.51242 	 	    0.28245 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.15942 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.29333 
T-test p-value........    0.17165 	 	    0.60993 
KS Bootstrap p-value..      0.198 	 	      0.454 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.16868 
std mean diff.........     19.981 	 	     30.856 

mean raw eQQ diff.....   0.054514 	 	   0.074447 
med  raw eQQ diff.....   0.052778 	 	   0.073214 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	      0.125 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.2244 
T-test p-value........    0.56362 	 	   0.089031 
KS Bootstrap p-value..      0.642 	 	      0.452 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -2.6483 
std mean diff.........    -57.455 	 	    -51.325 

mean raw eQQ diff.....     1.4371 	 	     1.3865 
med  raw eQQ diff.....     1.2586 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.14457 	 	      0.125 
med  eCDF diff........    0.12138 	 	   0.083333 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....     1.5033 	 	     1.3047 
T-test p-value........    0.10279 	 	    0.12188 
KS Bootstrap p-value..      0.061 	 	      0.353 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	     36.027 
std mean diff.........    -14.667 	 	     -7.067 

mean raw eQQ diff.....     4.5876 	 	     3.2726 
med  raw eQQ diff.....     4.6477 	 	     3.5032 
max  raw eQQ diff.....     13.667 	 	     5.6978 

mean eCDF diff........   0.064651 	 	   0.063492 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	    0.16667 

var ratio (Tr/Co).....    0.92909 	 	    0.96996 
T-test p-value........    0.68804 	 	     0.7904 
KS Bootstrap p-value..      0.823 	 	      0.983 
KS Naive p-value......    0.95056 	 	    0.99626 
KS Statistic..........    0.18478 	 	    0.16667 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	        0.5 
std mean diff.........     13.369 	 	    -16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	   0.041667 
med  eCDF diff........    0.03442 	 	   0.041667 
max  eCDF diff........   0.068841 	 	   0.083333 

var ratio (Tr/Co).....     1.1181 	 	    0.97222 
T-test p-value........    0.70594 	 	       0.57 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	     17.583 
std mean diff.........     3.2569 	 	    -3.9724 

mean raw eQQ diff.....     2.8333 	 	     2.4167 
med  raw eQQ diff.....        2.5 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.058959 	 	   0.061404 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	     1.3379 
T-test p-value........    0.92529 	 	    0.86446 
KS Bootstrap p-value..       0.84 	 	       0.98 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	        0.5 
std mean diff.........      135.9 	 	     85.635 

mean raw eQQ diff.....        0.5 	 	    0.33333 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	    0.16667 
med  eCDF diff........    0.26449 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....    0.68452 	 	    0.55556 
T-test p-value........  0.0014797 	 	   0.091086 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.34009 	 	    0.34198 
std mean diff.........     25.777 	 	     25.538 

mean raw eQQ diff.....    0.23001 	 	    0.24745 
med  raw eQQ diff.....   0.064779 	 	   0.055071 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.075974 	 	   0.083333 
med  eCDF diff........   0.070652 	 	   0.083333 
max  eCDF diff........     0.2029 	 	       0.25 

var ratio (Tr/Co).....     12.855 	 	     14.474 
T-test p-value........     0.3987 	 	    0.28236 
KS Bootstrap p-value..      0.739 	 	      0.782 
KS Naive p-value......    0.90161 	 	    0.84749 
KS Statistic..........     0.2029 	 	       0.25 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........    0.55435 	 	    0.70833 
std mean diff.........     34.489 	 	    -12.794 

mean raw eQQ diff.....    0.14583 	 	      0.125 
med  raw eQQ diff.....      0.125 	 	      0.125 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.11304 	 	        0.1 
med  eCDF diff........    0.14855 	 	   0.083333 
max  eCDF diff........    0.18116 	 	       0.25 

var ratio (Tr/Co).....      0.603 	 	    0.62921 
T-test p-value........    0.38918 	 	    0.59929 
KS Bootstrap p-value..      0.599 	 	      0.528 
KS Naive p-value......    0.95809 	 	    0.84749 
KS Statistic..........    0.18116 	 	       0.25 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     37.465 	 	     15.957 

mean raw eQQ diff.....    0.16667 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.097826 	 	   0.041667 
med  eCDF diff........   0.097826 	 	   0.041667 
max  eCDF diff........    0.19565 	 	   0.083333 

var ratio (Tr/Co).....     1.2321 	 	     1.0286 
T-test p-value........    0.28934 	 	    0.66076 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     9.9167 	 	     9.9167 
mean control..........     7.6087 	 	     8.9167 
std mean diff.........      25.79 	 	     11.175 

mean raw eQQ diff.....          4 	 	          4 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         13 	 	         12 

mean eCDF diff........     0.1053 	 	    0.10714 
med  eCDF diff........   0.096014 	 	   0.083333 
max  eCDF diff........    0.24638 	 	       0.25 

var ratio (Tr/Co).....     1.2979 	 	     1.1763 
T-test p-value........    0.45932 	 	     0.6145 
KS Bootstrap p-value..      0.427 	 	      0.728 
KS Naive p-value......    0.72473 	 	    0.84749 
KS Statistic..........    0.24638 	 	       0.25 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.053355 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.33362 
std mean diff.........     93.462 	 	     61.863 

mean raw eQQ diff.....    0.32138 	 	    0.22031 
med  raw eQQ diff.....    0.27444 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.20556 
med  eCDF diff........    0.33333 	 	       0.25 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	     1.6437 
T-test p-value........   0.010188 	 	   0.053355 
KS Bootstrap p-value..      0.013 	 	      0.421 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.3957 
std mean diff.........    -106.48 	 	    -81.738 

mean raw eQQ diff.....     1.0986 	 	    0.83859 
med  raw eQQ diff.....    0.82975 	 	    0.68718 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.21422 	 	    0.11742 
med  eCDF diff........    0.21196 	 	   0.083333 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....    0.56302 	 	    0.66665 
T-test p-value........   0.012752 	 	   0.068832 
KS Bootstrap p-value..      0.112 	 	      0.793 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	    0.17001 
std mean diff.........     32.426 	 	     31.723 

mean raw eQQ diff.....    0.11499 	 	    0.12135 
med  raw eQQ diff.....   0.047149 	 	   0.080128 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.082952 	 	    0.11111 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....      3.204 	 	     2.1822 
T-test p-value........    0.31442 	 	    0.26751 
KS Bootstrap p-value..      0.619 	 	      0.708 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.31408 
std mean diff.........     45.889 	 	     34.045 

mean raw eQQ diff.....    0.12651 	 	   0.091048 
med  raw eQQ diff.....    0.11277 	 	   0.074537 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.19319 	 	    0.14286 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.41667 

var ratio (Tr/Co).....     1.1687 	 	     1.3837 
T-test p-value........    0.20051 	 	    0.19734 
KS Bootstrap p-value..      0.017 	 	      0.195 
KS Naive p-value......   0.025736 	 	    0.24855 
KS Statistic..........    0.52536 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.6576 
std mean diff.........    -73.948 	 	    -26.405 

mean raw eQQ diff.....     0.6649 	 	    0.47793 
med  raw eQQ diff.....    0.51242 	 	    0.28245 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15558 	 	    0.15942 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.33333 

var ratio (Tr/Co).....    0.22107 	 	    0.29333 
T-test p-value........    0.17165 	 	    0.60993 
KS Bootstrap p-value..      0.208 	 	      0.475 
KS Naive p-value......    0.29579 	 	    0.51755 
KS Statistic..........    0.34783 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.16868 
std mean diff.........     19.981 	 	     30.856 

mean raw eQQ diff.....   0.054514 	 	   0.074447 
med  raw eQQ diff.....   0.052778 	 	   0.073214 
max  raw eQQ diff.....    0.11538 	 	    0.15556 

mean eCDF diff........   0.092305 	 	      0.125 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	    0.33333 

var ratio (Tr/Co).....     1.3427 	 	     1.2244 
T-test p-value........    0.56362 	 	   0.089031 
KS Bootstrap p-value..      0.635 	 	      0.436 
KS Naive p-value......    0.83583 	 	    0.51755 
KS Statistic..........    0.22101 	 	    0.33333 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.053355 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3336   0.5539   0.2203           0.1200   0.6898  1.8352  .      
ave.log.duration.prev5          2.3957   1.5572   -0.8386          0.4812   -0.7311 -1.7427 .      
ave.outcome.prev5               0.1700   0.2914   0.1213           0.1096   0.3715  1.1068         
ForceUS.prop.prev10             0.3141   0.3885   0.0744           0.0583   0.3668  1.2757         
ave.log.duration.prev10         2.6576   2.5238   -0.1338          0.2576   -0.1778 -0.5192        
ave.outcome.prev10              0.1687   0.2292   0.0606           0.0369   0.3237  1.6423         
---Overall Test---
      chisquare df p.value
strat      8.64  6   0.195
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     11 
$p.values
ForceUS     NPC 
  0.697   0.697 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1931818 38.2353896  0.0762987 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1956553 31.9236391  0.1123703 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 15.937500   1.185371   6.306818 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.795610   1.117686   1.002949 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs TRUE ***


Wed Apr 22 18:08:37 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.641529e-02  8.322533e-02  1.378421e-01  1.496097e-01  1.496097e-01  2.113004e-01  2.312591e-01  2.427593e-01  2.485482e-01  2.726817e-01  2.944594e-01  3.063679e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.937379e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.798321e-01  6.771068e-01  7.286768e-01  7.316086e-01  8.209926e-01  8.282203e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.413511e-02  1.059751e-01  1.668297e-01  2.281947e-01  2.320985e-01  2.436524e-01  2.485482e-01  2.485482e-01  2.933529e-01  2.948004e-01  3.063679e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.621677e-01  4.376595e-01  4.407166e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  6.204071e-01  6.607592e-01  6.607592e-01  7.127571e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.152737e-01  9.717842e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	6.968448e-02  8.600791e-02  1.985173e-01  2.029523e-01  2.185886e-01  2.688872e-01  2.951193e-01  3.115779e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.319388e-01  3.829771e-01  4.187013e-01  4.187013e-01  5.160850e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  6.934953e-01  7.825781e-01  8.143497e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.982623e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	7.415178e-02  1.041427e-01  1.145137e-01  1.681672e-01  1.735471e-01  1.735471e-01  1.989567e-01  2.396220e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.553463e-01  2.553463e-01  2.657371e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.015845e-01  4.323507e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.994203e-01  6.690920e-01  7.033246e-01  7.127063e-01  8.250936e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.816358e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.415178e-02  1.041427e-01  1.145137e-01  1.681672e-01  1.735471e-01  1.735471e-01  1.989567e-01  2.396220e-01  2.485482e-01  2.485482e-01  2.485482e-01  2.553463e-01  2.553463e-01  2.657371e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.015845e-01  4.323507e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.994203e-01  6.690920e-01  7.033246e-01  7.127063e-01  8.250936e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.816358e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.776017e+01
 X[ 2] :	6.939618e+01
 X[ 3] :	1.890078e+02
 X[ 4] :	6.688122e+02
 X[ 5] :	4.997608e+02
 X[ 6] :	7.985451e+02
 X[ 7] :	6.369243e+01
 X[ 8] :	9.947455e+02
 X[ 9] :	6.907294e+02
 X[10] :	7.567946e+02
 X[11] :	1.426410e+02
 X[12] :	2.033162e+02
 X[13] :	6.854444e+01
 X[14] :	1.307118e+02
 X[15] :	3.443137e+02
 X[16] :	7.590911e+02
 X[17] :	1.779414e+00
 X[18] :	1.083523e+01
 X[19] :	2.210576e+02
 X[20] :	3.792930e+02
 X[21] :	4.701548e+02
 X[22] :	7.678313e+02
 X[23] :	6.453448e+02
 X[24] :	3.403358e+02

Solution Found Generation 4
Number of Generations Run 15

Wed Apr 22 18:37:47 2015
Total run time : 0 hours 29 minutes and 10 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4  Roosevelt, T.         9          7
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1  Roosevelt, F.        10          8
6  Johnson, A.         5          5      Cleveland         9          6
7       Wilson        15         13  Roosevelt, F.        10          8
8       Truman         6          4          Obama         4          3
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7       Buchanan         6          5
11     Clinton        24         10          Obama         4          3
12 Bush, G. W.        24         20 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.56522 	 	       0.75 
std mean diff.........    -12.488 	 	    -47.871 

mean raw eQQ diff.....   0.083333 	 	       0.25 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.032609 	 	      0.125 
med  eCDF diff........   0.032609 	 	      0.125 
max  eCDF diff........   0.065217 	 	       0.25 

var ratio (Tr/Co).....     1.0615 	 	     1.3333 
T-test p-value........    0.72657 	 	    0.17355 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.30435 	 	    0.33333 
std mean diff.........     21.813 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.056159 	 	   0.041667 
med  eCDF diff........   0.056159 	 	   0.041667 
max  eCDF diff........    0.11232 	 	   0.083333 

var ratio (Tr/Co).....     1.1979 	 	     1.0938 
T-test p-value........    0.53517 	 	    0.31868 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1912.1 	 	       1928 
std mean diff.........    -16.807 	 	    -38.498 

mean raw eQQ diff.....     22.333 	 	       30.5 
med  raw eQQ diff.....         25 	 	         28 
max  raw eQQ diff.....         40 	 	         60 

mean eCDF diff........    0.13064 	 	    0.14035 
med  eCDF diff........     0.1087 	 	   0.083333 
max  eCDF diff........    0.37319 	 	    0.41667 

var ratio (Tr/Co).....     2.0977 	 	     1.8344 
T-test p-value........    0.60921 	 	    0.11451 
KS Bootstrap p-value..      0.115 	 	      0.178 
KS Naive p-value......    0.15042 	 	    0.24855 
KS Statistic..........    0.37319 	 	    0.41667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.47826 	 	    0.33333 
std mean diff.........    -11.962 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.030797 	 	   0.041667 
med  eCDF diff........   0.030797 	 	   0.041667 
max  eCDF diff........   0.061594 	 	   0.083333 

var ratio (Tr/Co).....     1.0164 	 	     1.0938 
T-test p-value........     0.7394 	 	    0.31868 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     1.9773 	 	     1.8653 
std mean diff.........    -18.944 	 	    -10.213 

mean raw eQQ diff.....    0.27313 	 	    0.30472 
med  raw eQQ diff.....    0.12783 	 	     0.1915 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.071084 	 	   0.076923 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.19928 	 	       0.25 

var ratio (Tr/Co).....     1.4627 	 	     1.4927 
T-test p-value........    0.57974 	 	    0.70332 
KS Bootstrap p-value..      0.713 	 	       0.72 
KS Naive p-value......    0.91286 	 	    0.84749 
KS Statistic..........    0.19928 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........     7.8696 	 	     8.6667 
std mean diff.........    -4.2846 	 	    -16.216 

mean raw eQQ diff.....     1.1667 	 	       1.75 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          2 	 	          4 

mean eCDF diff........   0.074638 	 	    0.10119 
med  eCDF diff........   0.057971 	 	   0.083333 
max  eCDF diff........    0.20652 	 	       0.25 

var ratio (Tr/Co).....     1.2741 	 	     1.0005 
T-test p-value........    0.90175 	 	    0.26574 
KS Bootstrap p-value..       0.63 	 	      0.719 
KS Naive p-value......    0.88967 	 	    0.84749 
KS Statistic..........    0.20652 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     5.0073 	 	      6.115 
std mean diff.........     34.141 	 	    -11.915 

mean raw eQQ diff.....     1.5179 	 	     1.2115 
med  raw eQQ diff.....     1.1184 	 	    0.65161 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13126 	 	    0.11538 
med  eCDF diff........     0.1413 	 	   0.083333 
max  eCDF diff........    0.28261 	 	       0.25 

var ratio (Tr/Co).....    0.93323 	 	    0.45506 
T-test p-value........    0.35334 	 	    0.82509 
KS Bootstrap p-value..      0.314 	 	      0.698 
KS Naive p-value......    0.55458 	 	    0.84749 
KS Statistic..........    0.28261 	 	       0.25 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.38571 
std mean diff.........     93.462 	 	     47.234 

mean raw eQQ diff.....    0.32138 	 	    0.19599 
med  raw eQQ diff.....    0.27444 	 	    0.15152 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.15152 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	      2.146 
T-test p-value........   0.010188 	 	   0.074152 
KS Bootstrap p-value..      0.012 	 	      0.362 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.2473 
std mean diff.........    -106.48 	 	    -67.267 

mean raw eQQ diff.....     1.0986 	 	    0.69013 
med  raw eQQ diff.....    0.82975 	 	    0.51342 
max  raw eQQ diff.....     2.3128 	 	     1.3195 

mean eCDF diff........    0.21422 	 	    0.17647 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	     1.6923 
T-test p-value........   0.012752 	 	    0.16817 
KS Bootstrap p-value..      0.106 	 	      0.433 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	     0.2369 
std mean diff.........     32.426 	 	     14.237 

mean raw eQQ diff.....    0.11499 	 	   0.068347 
med  raw eQQ diff.....   0.047149 	 	   0.027814 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.082952 	 	   0.070513 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     1.4478 
T-test p-value........    0.31442 	 	    0.10414 
KS Bootstrap p-value..      0.616 	 	      0.953 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32507 
std mean diff.........     45.889 	 	     29.013 

mean raw eQQ diff.....    0.12651 	 	   0.090501 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	    0.10294 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.6273 
T-test p-value........    0.20051 	 	    0.40158 
KS Bootstrap p-value..      0.011 	 	      0.407 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.4197 
std mean diff.........    -73.948 	 	      20.55 

mean raw eQQ diff.....     0.6649 	 	    0.22692 
med  raw eQQ diff.....    0.51242 	 	    0.10675 
max  raw eQQ diff.....     1.8581 	 	    0.70107 

mean eCDF diff........    0.15558 	 	    0.14815 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     1.4981 
T-test p-value........    0.17165 	 	    0.59942 
KS Bootstrap p-value..      0.198 	 	       0.17 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.21556 
std mean diff.........     19.981 	 	     6.9737 

mean raw eQQ diff.....   0.054514 	 	   0.069639 
med  raw eQQ diff.....   0.052778 	 	   0.055483 
max  raw eQQ diff.....    0.11538 	 	    0.18571 

mean eCDF diff........   0.092305 	 	   0.089286 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.0562 
T-test p-value........    0.56362 	 	    0.71271 
KS Bootstrap p-value..      0.642 	 	      0.744 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........    0.13043 	 	    0.16667 
std mean diff.........     9.3081 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.018116 	 	          0 
med  eCDF diff........   0.018116 	 	          0 
max  eCDF diff........   0.036232 	 	          0 

var ratio (Tr/Co).....     1.2778 	 	          1 
T-test p-value........    0.78861 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........    -2.4827 	 	    -3.9135 
std mean diff.........    -57.455 	 	     -4.487 

mean raw eQQ diff.....     1.4371 	 	     1.0506 
med  raw eQQ diff.....     1.2586 	 	    0.81668 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.14457 	 	    0.10833 
med  eCDF diff........    0.12138 	 	      0.125 
max  eCDF diff........    0.39855 	 	       0.25 

var ratio (Tr/Co).....     1.5033 	 	     1.5226 
T-test p-value........    0.10279 	 	    0.88164 
KS Bootstrap p-value..      0.061 	 	      0.683 
KS Naive p-value......    0.16323 	 	    0.84749 
KS Statistic..........    0.39855 	 	       0.25 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     37.457 	 	      30.09 
std mean diff.........    -14.667 	 	     24.483 

mean raw eQQ diff.....     4.5876 	 	      6.127 
med  raw eQQ diff.....     4.6477 	 	     4.8939 
max  raw eQQ diff.....     13.667 	 	     15.696 

mean eCDF diff........   0.064651 	 	   0.098958 
med  eCDF diff........   0.052536 	 	   0.083333 
max  eCDF diff........    0.18478 	 	       0.25 

var ratio (Tr/Co).....    0.92909 	 	     1.4723 
T-test p-value........    0.68804 	 	    0.19896 
KS Bootstrap p-value..      0.823 	 	      0.726 
KS Naive p-value......    0.95056 	 	    0.84749 
KS Statistic..........    0.18478 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........    0.34783 	 	    0.16667 
std mean diff.........     13.369 	 	      48.55 

mean raw eQQ diff.....   0.083333 	 	       0.25 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.03442 	 	      0.125 
med  eCDF diff........    0.03442 	 	      0.125 
max  eCDF diff........   0.068841 	 	       0.25 

var ratio (Tr/Co).....     1.1181 	 	       1.75 
T-test p-value........    0.70594 	 	    0.25535 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........     16.522 	 	     18.417 
std mean diff.........     3.2569 	 	    -9.6473 

mean raw eQQ diff.....     2.8333 	 	     3.0833 
med  raw eQQ diff.....        2.5 	 	          3 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........   0.058959 	 	   0.077381 
med  eCDF diff........   0.054348 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.2665 	 	    0.85665 
T-test p-value........    0.92529 	 	    0.66909 
KS Bootstrap p-value..       0.84 	 	      0.959 
KS Naive p-value......    0.98082 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........    0.30435 	 	    0.66667 
std mean diff.........      135.9 	 	     42.817 

mean raw eQQ diff.....        0.5 	 	    0.16667 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.26449 	 	   0.083333 
med  eCDF diff........    0.26449 	 	   0.083333 
max  eCDF diff........    0.52899 	 	    0.16667 

var ratio (Tr/Co).....    0.68452 	 	      0.625 
T-test p-value........  0.0014797 	 	    0.31868 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........   0.043478 	 	          0 
std mean diff.........     13.806 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.019928 	 	   0.041667 
med  eCDF diff........   0.019928 	 	   0.041667 
max  eCDF diff........   0.039855 	 	   0.083333 

var ratio (Tr/Co).....     1.9167 	 	        Inf 
T-test p-value........    0.67682 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.34009 	 	    0.28508 
std mean diff.........     25.777 	 	     32.742 

mean raw eQQ diff.....    0.23001 	 	    0.28198 
med  raw eQQ diff.....   0.064779 	 	   0.067481 
max  raw eQQ diff.....     2.0813 	 	     2.4651 

mean eCDF diff........   0.075974 	 	    0.14352 
med  eCDF diff........   0.070652 	 	      0.125 
max  eCDF diff........     0.2029 	 	    0.41667 

var ratio (Tr/Co).....     12.855 	 	      23.55 
T-test p-value........     0.3987 	 	    0.23962 
KS Bootstrap p-value..      0.739 	 	      0.173 
KS Naive p-value......    0.90161 	 	    0.24855 
KS Statistic..........     0.2029 	 	    0.41667 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........    0.55435 	 	    0.77083 
std mean diff.........     34.489 	 	    -31.985 

mean raw eQQ diff.....    0.14583 	 	    0.10417 
med  raw eQQ diff.....      0.125 	 	          0 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.11304 	 	   0.083333 
med  eCDF diff........    0.14855 	 	          0 
max  eCDF diff........    0.18116 	 	    0.33333 

var ratio (Tr/Co).....      0.603 	 	    0.81455 
T-test p-value........    0.38918 	 	    0.31868 
KS Bootstrap p-value..      0.599 	 	      0.243 
KS Naive p-value......    0.95809 	 	    0.51755 
KS Statistic..........    0.18116 	 	    0.33333 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........    0.30435 	 	    0.41667 
std mean diff.........     37.465 	 	     15.957 

mean raw eQQ diff.....    0.16667 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.097826 	 	   0.041667 
med  eCDF diff........   0.097826 	 	   0.041667 
max  eCDF diff........    0.19565 	 	   0.083333 

var ratio (Tr/Co).....     1.2321 	 	     1.0286 
T-test p-value........    0.28934 	 	       0.57 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     9.9167 	 	     9.9167 
mean control..........     7.6087 	 	       7.75 
std mean diff.........      25.79 	 	     24.211 

mean raw eQQ diff.....          4 	 	     5.6667 
med  raw eQQ diff.....        1.5 	 	          3 
max  raw eQQ diff.....         13 	 	         14 

mean eCDF diff........     0.1053 	 	    0.19697 
med  eCDF diff........   0.096014 	 	    0.16667 
max  eCDF diff........    0.24638 	 	    0.33333 

var ratio (Tr/Co).....     1.2979 	 	      16.86 
T-test p-value........    0.45932 	 	    0.43235 
KS Bootstrap p-value..      0.427 	 	      0.337 
KS Naive p-value......    0.72473 	 	    0.51755 
KS Statistic..........    0.24638 	 	    0.33333 


Before Matching Minimum p.value: 0.0014797 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.074152 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.22108 	 	    0.38571 
std mean diff.........     93.462 	 	     47.234 

mean raw eQQ diff.....    0.32138 	 	    0.19599 
med  raw eQQ diff.....    0.27444 	 	    0.15152 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.33802 	 	    0.15152 
med  eCDF diff........    0.33333 	 	    0.16667 
max  eCDF diff........    0.52899 	 	    0.33333 

var ratio (Tr/Co).....     2.0964 	 	      2.146 
T-test p-value........   0.010188 	 	   0.074152 
KS Bootstrap p-value..      0.013 	 	       0.37 
KS Naive p-value......   0.024231 	 	    0.51755 
KS Statistic..........    0.52899 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.6496 	 	     2.2473 
std mean diff.........    -106.48 	 	    -67.267 

mean raw eQQ diff.....     1.0986 	 	    0.69013 
med  raw eQQ diff.....    0.82975 	 	    0.51342 
max  raw eQQ diff.....     2.3128 	 	     1.3195 

mean eCDF diff........    0.21422 	 	    0.17647 
med  eCDF diff........    0.21196 	 	    0.16667 
max  eCDF diff........    0.39855 	 	    0.33333 

var ratio (Tr/Co).....    0.56302 	 	     1.6923 
T-test p-value........   0.012752 	 	    0.16817 
KS Bootstrap p-value..      0.112 	 	      0.432 
KS Naive p-value......    0.16323 	 	    0.51755 
KS Statistic..........    0.39855 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.16733 	 	     0.2369 
std mean diff.........     32.426 	 	     14.237 

mean raw eQQ diff.....    0.11499 	 	   0.068347 
med  raw eQQ diff.....   0.047149 	 	   0.027814 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........   0.082952 	 	   0.070513 
med  eCDF diff........   0.065217 	 	   0.083333 
max  eCDF diff........    0.20652 	 	    0.16667 

var ratio (Tr/Co).....      3.204 	 	     1.4478 
T-test p-value........    0.31442 	 	    0.10414 
KS Bootstrap p-value..      0.619 	 	      0.955 
KS Naive p-value......    0.88967 	 	    0.99626 
KS Statistic..........    0.20652 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........     0.2882 	 	    0.32507 
std mean diff.........     45.889 	 	     29.013 

mean raw eQQ diff.....    0.12651 	 	   0.090501 
med  raw eQQ diff.....    0.11277 	 	   0.054739 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.19319 	 	    0.10294 
med  eCDF diff........    0.16667 	 	   0.083333 
max  eCDF diff........    0.52536 	 	    0.33333 

var ratio (Tr/Co).....     1.1687 	 	     1.6273 
T-test p-value........    0.20051 	 	    0.40158 
KS Bootstrap p-value..      0.017 	 	      0.428 
KS Naive p-value......   0.025736 	 	    0.51755 
KS Statistic..........    0.52536 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8984 	 	     2.4197 
std mean diff.........    -73.948 	 	      20.55 

mean raw eQQ diff.....     0.6649 	 	    0.22692 
med  raw eQQ diff.....    0.51242 	 	    0.10675 
max  raw eQQ diff.....     1.8581 	 	    0.70107 

mean eCDF diff........    0.15558 	 	    0.14815 
med  eCDF diff........    0.16123 	 	    0.16667 
max  eCDF diff........    0.34783 	 	    0.41667 

var ratio (Tr/Co).....    0.22107 	 	     1.4981 
T-test p-value........    0.17165 	 	    0.59942 
KS Bootstrap p-value..      0.208 	 	      0.203 
KS Naive p-value......    0.29579 	 	    0.24855 
KS Statistic..........    0.34783 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.19003 	 	    0.21556 
std mean diff.........     19.981 	 	     6.9737 

mean raw eQQ diff.....   0.054514 	 	   0.069639 
med  raw eQQ diff.....   0.052778 	 	   0.055483 
max  raw eQQ diff.....    0.11538 	 	    0.18571 

mean eCDF diff........   0.092305 	 	   0.089286 
med  eCDF diff........   0.083333 	 	   0.083333 
max  eCDF diff........    0.22101 	 	       0.25 

var ratio (Tr/Co).....     1.3427 	 	     1.0562 
T-test p-value........    0.56362 	 	    0.71271 
KS Bootstrap p-value..      0.635 	 	      0.726 
KS Naive p-value......    0.83583 	 	    0.84749 
KS Statistic..........    0.22101 	 	       0.25 


Before Matching Minimum p.value: 0.010188 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.074152 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3857   0.5539   0.1682           0.0981   0.5517  1.7144  .      
ave.log.duration.prev5          2.2473   1.5572   -0.6901          0.5084   -0.7542 -1.3573        
ave.outcome.prev5               0.2369   0.2914   0.0545           0.0345   0.1548  1.5772         
ForceUS.prop.prev10             0.3251   0.3885   0.0634           0.0749   0.3229  0.8461         
ave.log.duration.prev10         2.4197   2.5238   0.1041           0.1948   0.2251  0.5343         
ave.outcome.prev10              0.2156   0.2292   0.0137           0.0364   0.0707  0.3757         
---Overall Test---
      chisquare df p.value
strat      4.96  6   0.548
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     21 
$p.values
ForceUS     NPC 
  0.593   0.593 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22710312 17.37805292  0.01407734 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2352717 27.5875611  0.1346917 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
17.6004919  1.4018536  0.9595488 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7932395  0.7313846  0.8644740 

Closed Testing
Intersection 1 of 7 

*** primary none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
    ForceUS  DurationUS   OutcomeUS 
 0.20505151 77.68841096  0.01856336 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.017             0.006             0.397             0.083             0.014             0.397             0.009 

*** primary none FALSE harmonic ***

*** primary none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 30.347624   2.797745   3.316527 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.017             0.007             0.369             0.077             0.031             0.369             0.013 

*** primary none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 2.3057882  2.6745445  0.6326563 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.016             0.006             0.286             0.055             0.015             0.286             0.008 

*** primary none TRUE mean ***

*** primary none TRUE harmonic ***

*** primary none TRUE rank ***

*** primary none TRUE hlm ***

*** primary log.placebo FALSE ***


Wed Apr 22 20:34:32 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.092835e-02  8.573903e-02  1.122046e-01  2.485482e-01  3.190693e-01  5.175508e-01  5.175508e-01  6.103823e-01  6.236826e-01  8.474885e-01  8.474885e-01  8.474885e-01  

      1 	7.341688e-02  8.886329e-02  1.122046e-01  2.485482e-01  3.199384e-01  5.175508e-01  5.175508e-01  6.103823e-01  6.236849e-01  8.474885e-01  8.474885e-01  8.474885e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.341688e-02  8.886329e-02  1.122046e-01  2.485482e-01  3.199384e-01  5.175508e-01  5.175508e-01  6.103823e-01  6.236849e-01  8.474885e-01  8.474885e-01  8.474885e-01  

Parameters at the Solution:

 X[ 1] :	5.830975e+02
 X[ 2] :	1.347962e+02
 X[ 3] :	1.746793e+02
 X[ 4] :	1.107329e+02
 X[ 5] :	3.834993e+00
 X[ 6] :	8.286069e+02

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 22 20:44:53 2015
Total run time : 0 hours 10 minutes and 21 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Hoover         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5       Coolidge         1          1
7       Wilson        15         13 Bush, G. H. W.         8          5
8       Truman         6          4          Nixon        12          9
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7           Ford         4          4
11     Clinton        24         10        Harding         1          1
12 Bush, G. W.        24         20       McKinley         3          1

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.44614 
std mean diff.........     79.709 	 	     30.267 

mean raw eQQ diff.....    0.28577 	 	    0.10779 
med  raw eQQ diff.....    0.27444 	 	   0.087121 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........    0.28704 	 	        0.1 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	      1.304 
T-test p-value........   0.027314 	 	   0.073417 
KS Bootstrap p-value..      0.025 	 	      0.768 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.2009 
std mean diff.........     -99.54 	 	    -62.742 

mean raw eQQ diff.....    0.89356 	 	    0.66035 
med  raw eQQ diff.....    0.60014 	 	    0.34274 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.19569 	 	    0.10985 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	     1.0614 
T-test p-value........   0.016254 	 	   0.088863 
KS Bootstrap p-value..      0.161 	 	      0.801 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.16908 
std mean diff.........     23.726 	 	     31.967 

mean raw eQQ diff.....    0.11707 	 	    0.12228 
med  raw eQQ diff.....   0.060407 	 	    0.07177 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	    0.13462 
med  eCDF diff........   0.053333 	 	    0.16667 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     2.5159 
T-test p-value........     0.4614 	 	     0.1122 
KS Bootstrap p-value..      0.759 	 	      0.692 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.42647 
std mean diff.........     30.287 	 	      -17.4 

mean raw eQQ diff.....    0.09584 	 	   0.093808 
med  raw eQQ diff.....    0.10581 	 	   0.072222 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.15908 	 	    0.12698 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.63905 
T-test p-value........    0.41287 	 	    0.61038 
KS Bootstrap p-value..      0.015 	 	      0.483 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.6579 
std mean diff.........    -54.541 	 	    -26.468 

mean raw eQQ diff.....    0.66496 	 	    0.42563 
med  raw eQQ diff.....    0.45889 	 	    0.21207 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16241 	 	    0.15942 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.28998 
T-test p-value........    0.29962 	 	    0.62368 
KS Bootstrap p-value..       0.24 	 	      0.203 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.19788 
std mean diff.........     1.5224 	 	     15.979 

mean raw eQQ diff.....   0.056243 	 	   0.062313 
med  raw eQQ diff.....   0.047727 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.11429 

mean eCDF diff........   0.069855 	 	    0.12963 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.66809 
T-test p-value........    0.96635 	 	    0.31994 
KS Bootstrap p-value..      0.695 	 	      0.432 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.015 
Variable Name(s): ForceUS.prop.prev10  Number(s): 4 

After Matching Minimum p.value: 0.073417 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.44614 
std mean diff.........     79.709 	 	     30.267 

mean raw eQQ diff.....    0.28577 	 	    0.10779 
med  raw eQQ diff.....    0.27444 	 	   0.087121 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........    0.28704 	 	        0.1 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	      1.304 
T-test p-value........   0.027314 	 	   0.073417 
KS Bootstrap p-value..      0.023 	 	      0.741 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.2009 
std mean diff.........     -99.54 	 	    -62.742 

mean raw eQQ diff.....    0.89356 	 	    0.66035 
med  raw eQQ diff.....    0.60014 	 	    0.34274 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.19569 	 	    0.10985 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	     1.0614 
T-test p-value........   0.016254 	 	   0.088863 
KS Bootstrap p-value..      0.176 	 	      0.782 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.16908 
std mean diff.........     23.726 	 	     31.967 

mean raw eQQ diff.....    0.11707 	 	    0.12228 
med  raw eQQ diff.....   0.060407 	 	    0.07177 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	    0.13462 
med  eCDF diff........   0.053333 	 	    0.16667 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     2.5159 
T-test p-value........     0.4614 	 	     0.1122 
KS Bootstrap p-value..        0.8 	 	      0.689 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.42647 
std mean diff.........     30.287 	 	      -17.4 

mean raw eQQ diff.....    0.09584 	 	   0.093808 
med  raw eQQ diff.....    0.10581 	 	   0.072222 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.15908 	 	    0.12698 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.63905 
T-test p-value........    0.41287 	 	    0.61038 
KS Bootstrap p-value..      0.022 	 	       0.45 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.6579 
std mean diff.........    -54.541 	 	    -26.468 

mean raw eQQ diff.....    0.66496 	 	    0.42563 
med  raw eQQ diff.....    0.45889 	 	    0.21207 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16241 	 	    0.15942 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.28998 
T-test p-value........    0.29962 	 	    0.62368 
KS Bootstrap p-value..      0.216 	 	      0.184 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.19788 
std mean diff.........     1.5224 	 	     15.979 

mean raw eQQ diff.....   0.056243 	 	   0.062313 
med  raw eQQ diff.....   0.047727 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.11429 

mean eCDF diff........   0.069855 	 	    0.12963 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.66809 
T-test p-value........    0.96635 	 	    0.31994 
KS Bootstrap p-value..      0.714 	 	       0.44 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.073417 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4461   0.5539   0.1078           0.0627   0.3220  1.7182  .      
ave.log.duration.prev5          2.2009   1.5572   -0.6437          0.3918   -0.6367 -1.6430        
ave.outcome.prev5               0.1691   0.2914   0.1223           0.0791   0.3824  1.5452         
ForceUS.prop.prev10             0.4265   0.3885   -0.0380          0.0733   -0.1536 -0.5185        
ave.log.duration.prev10         2.6579   2.5238   -0.1341          0.2684   -0.1775 -0.4995        
ave.outcome.prev10              0.1979   0.2292   0.0314           0.0314   0.1430  0.9975         
---Overall Test---
      chisquare df p.value
strat      8.11  6    0.23
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     59 
$p.values
ForceUS     NPC 
  0.119   0.119 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07058824 71.26750700 -0.02380952 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.03779461 73.45835438 -0.01559343 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  6.317647   2.106960  -1.591947 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
0.47105315 1.45302525 0.01348856 

Closed Testing
Intersection 1 of 7 

*** primary log.placebo TRUE ***


Wed Apr 22 21:41:47 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	5.965890e-02  5.989363e-02  1.590827e-01  2.485482e-01  5.019726e-01  5.175508e-01  5.357260e-01  5.597186e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  

      1 	7.660093e-02  7.868535e-02  9.604290e-02  9.956185e-02  9.956185e-02  1.483827e-01  4.943236e-01  5.175508e-01  5.175508e-01  8.474885e-01  8.474885e-01  9.331949e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.660093e-02  7.868535e-02  9.604290e-02  9.956185e-02  9.956185e-02  1.483827e-01  4.943236e-01  5.175508e-01  5.175508e-01  8.474885e-01  8.474885e-01  9.331949e-01  

Parameters at the Solution:

 X[ 1] :	2.204742e+02
 X[ 2] :	8.158437e+02
 X[ 3] :	1.866291e+02
 X[ 4] :	2.461015e+01
 X[ 5] :	6.971720e+01
 X[ 6] :	5.856493e+02

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 22 21:52:02 2015
Total run time : 0 hours 10 minutes and 15 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2 Bush, G. H. W.         8          5
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5      Cleveland         9          6
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4 Bush, G. H. W.         8          5
9  Johnson, L.        22         15       Buchanan         6          5
10      Carter         9          7       McKinley         3          1
11     Clinton        24         10          Obama         4          3
12 Bush, G. W.        24         20          Nixon        12          9

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.48571 
std mean diff.........     79.709 	 	     19.154 

mean raw eQQ diff.....    0.28577 	 	   0.081201 
med  raw eQQ diff.....    0.27444 	 	   0.080628 
max  raw eQQ diff.....    0.66667 	 	    0.28571 

mean eCDF diff........    0.28704 	 	      0.125 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.91518 
T-test p-value........   0.027314 	 	    0.14838 
KS Bootstrap p-value..      0.025 	 	      0.407 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     1.8822 
std mean diff.........     -99.54 	 	    -31.684 

mean raw eQQ diff.....    0.89356 	 	    0.42372 
med  raw eQQ diff.....    0.60014 	 	    0.24602 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.19569 	 	    0.11765 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	      3.097 
T-test p-value........   0.016254 	 	   0.096043 
KS Bootstrap p-value..      0.161 	 	      0.783 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.18274 
std mean diff.........     23.726 	 	     28.397 

mean raw eQQ diff.....    0.11707 	 	    0.11176 
med  raw eQQ diff.....   0.060407 	 	   0.021303 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.076389 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     3.4466 
T-test p-value........     0.4614 	 	   0.076601 
KS Bootstrap p-value..      0.759 	 	      0.707 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.43441 
std mean diff.........     30.287 	 	     -21.03 

mean raw eQQ diff.....    0.09584 	 	    0.13847 
med  raw eQQ diff.....    0.10581 	 	    0.07954 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.16146 
med  eCDF diff........       0.12 	 	      0.125 
max  eCDF diff........    0.47667 	 	        0.5 

var ratio (Tr/Co).....    0.82072 	 	    0.37862 
T-test p-value........    0.41287 	 	    0.49432 
KS Bootstrap p-value..      0.015 	 	      0.082 
KS Naive p-value......   0.050218 	 	   0.099562 
KS Statistic..........    0.47667 	 	        0.5 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2303 
std mean diff.........    -54.541 	 	     57.952 

mean raw eQQ diff.....    0.66496 	 	    0.35254 
med  raw eQQ diff.....    0.45889 	 	    0.21379 
max  raw eQQ diff.....     1.8581 	 	     1.0249 

mean eCDF diff........    0.16241 	 	    0.18981 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.69341 
T-test p-value........    0.29962 	 	   0.078685 
KS Bootstrap p-value..       0.24 	 	      0.067 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22616 
std mean diff.........     1.5224 	 	     1.5702 

mean raw eQQ diff.....   0.056243 	 	   0.093558 
med  raw eQQ diff.....   0.047727 	 	   0.082601 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.16667 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.43494 
T-test p-value........    0.96635 	 	    0.93319 
KS Bootstrap p-value..      0.695 	 	      0.398 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.015 
Variable Name(s): ForceUS.prop.prev10  Number(s): 4 

After Matching Minimum p.value: 0.067 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.48571 
std mean diff.........     79.709 	 	     19.154 

mean raw eQQ diff.....    0.28577 	 	   0.081201 
med  raw eQQ diff.....    0.27444 	 	   0.080628 
max  raw eQQ diff.....    0.66667 	 	    0.28571 

mean eCDF diff........    0.28704 	 	      0.125 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.91518 
T-test p-value........   0.027314 	 	    0.14838 
KS Bootstrap p-value..      0.023 	 	      0.395 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     1.8822 
std mean diff.........     -99.54 	 	    -31.684 

mean raw eQQ diff.....    0.89356 	 	    0.42372 
med  raw eQQ diff.....    0.60014 	 	    0.24602 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.19569 	 	    0.11765 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	      3.097 
T-test p-value........   0.016254 	 	   0.096043 
KS Bootstrap p-value..      0.176 	 	       0.76 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.18274 
std mean diff.........     23.726 	 	     28.397 

mean raw eQQ diff.....    0.11707 	 	    0.11176 
med  raw eQQ diff.....   0.060407 	 	   0.021303 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.076389 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     3.4466 
T-test p-value........     0.4614 	 	   0.076601 
KS Bootstrap p-value..        0.8 	 	      0.698 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.43441 
std mean diff.........     30.287 	 	     -21.03 

mean raw eQQ diff.....    0.09584 	 	    0.13847 
med  raw eQQ diff.....    0.10581 	 	    0.07954 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.16146 
med  eCDF diff........       0.12 	 	      0.125 
max  eCDF diff........    0.47667 	 	        0.5 

var ratio (Tr/Co).....    0.82072 	 	    0.37862 
T-test p-value........    0.41287 	 	    0.49432 
KS Bootstrap p-value..      0.022 	 	      0.064 
KS Naive p-value......   0.050218 	 	   0.099562 
KS Statistic..........    0.47667 	 	        0.5 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2303 
std mean diff.........    -54.541 	 	     57.952 

mean raw eQQ diff.....    0.66496 	 	    0.35254 
med  raw eQQ diff.....    0.45889 	 	    0.21379 
max  raw eQQ diff.....     1.8581 	 	     1.0249 

mean eCDF diff........    0.16241 	 	    0.18981 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.69341 
T-test p-value........    0.29962 	 	   0.078685 
KS Bootstrap p-value..      0.216 	 	      0.075 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22616 
std mean diff.........     1.5224 	 	     1.5702 

mean raw eQQ diff.....   0.056243 	 	   0.093558 
med  raw eQQ diff.....   0.047727 	 	   0.082601 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.16667 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.43494 
T-test p-value........    0.96635 	 	    0.93319 
KS Bootstrap p-value..      0.714 	 	      0.405 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.064 
Variable Name(s): ForceUS.prop.prev10  Number(s): 4 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.48571  0.55393  0.06821          0.04810  0.18725  1.41813          
ave.log.duration.prev5         1.88221  1.55715  -0.32506         0.20175  -0.38957 -1.61120         
ave.outcome.prev5              0.18274  0.29136  0.10862          0.06383  0.35357  1.70188  .       
ForceUS.prop.prev10            0.43441  0.38846  -0.04594         0.06633  -0.15586 -0.69264         
ave.log.duration.prev10        2.23026  2.52381  0.29355          0.17355  0.52444  1.69143  .       
ave.outcome.prev10             0.22616  0.22924  0.00308          0.03594  0.01223  0.08574          
---Overall Test---
      chisquare df p.value
strat      8.48  6   0.205
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     56 
$p.values
ForceUS     NPC 
   0.18    0.18 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.04201681 94.14845938  0.01587302 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.07725168 91.92687290 -0.07415825 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  3.823529   2.477381   1.614379 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.09205486  2.01332233 -0.05487885 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs FALSE ***


Wed Apr 22 22:50:58 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.538519e-01  4.136826e-01  4.273558e-01  8.689817e-01  8.918120e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.538519e-01  4.136826e-01  4.273558e-01  8.689817e-01  8.918120e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.366186e+02
 X[ 2] :	5.045592e+02
 X[ 3] :	4.503763e+01
 X[ 4] :	8.253142e+02
 X[ 5] :	1.468040e+01
 X[ 6] :	1.018375e+02
 X[ 7] :	8.700198e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 22 23:00:29 2015
Total run time : 0 hours 9 minutes and 31 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Fillmore         3          3
2       Monroe         6          6      Cleveland         9          6
3      Jackson         4          4          Grant         7          6
4        Tyler         2          2   Adams, J. Q.         1          0
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Pierce         7          7
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4     Eisenhower        28         18
9  Johnson, L.        22         15          Nixon        12          9
10      Carter         9          7           Ford         4          4
11     Clinton        24         10         Reagan        33         24
12 Bush, G. W.        24         20 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	        0.5 
std mean diff.........    -11.489 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....     1.0626 	 	          1 
T-test p-value........     0.7444 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1907.2 
std mean diff.........    -12.966 	 	    -10.023 

mean raw eQQ diff.....         22 	 	     13.833 
med  raw eQQ diff.....         23 	 	         12 
max  raw eQQ diff.....         36 	 	         24 

mean eCDF diff........    0.12369 	 	   0.090278 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	       0.25 

var ratio (Tr/Co).....     2.0131 	 	     1.3887 
T-test p-value........     0.6917 	 	    0.35385 
KS Bootstrap p-value..       0.23 	 	      0.815 
KS Naive p-value......    0.26194 	 	    0.86898 
KS Statistic..........    0.33667 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.6823 
std mean diff.........     -21.84 	 	     4.0644 

mean raw eQQ diff.....    0.26647 	 	    0.22569 
med  raw eQQ diff.....   0.078002 	 	    0.22599 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.073651 	 	   0.061111 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	    0.16667 

var ratio (Tr/Co).....     1.5702 	 	     1.3746 
T-test p-value........     0.5163 	 	    0.89181 
KS Bootstrap p-value..      0.613 	 	      0.974 
KS Naive p-value......    0.84107 	 	    0.99626 
KS Statistic..........    0.21667 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     8.0833 
std mean diff.........    0.94804 	 	    -7.4845 

mean raw eQQ diff.....     1.4167 	 	     1.1667 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          2 

mean eCDF diff........   0.073556 	 	   0.076389 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	    0.16667 

var ratio (Tr/Co).....     1.3285 	 	     1.0425 
T-test p-value........    0.97783 	 	    0.42736 
KS Bootstrap p-value..      0.637 	 	       0.97 
KS Naive p-value......    0.86696 	 	    0.99626 
KS Statistic..........       0.21 	 	    0.16667 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     5.5127 
std mean diff.........     37.483 	 	     13.129 

mean raw eQQ diff.....     1.5996 	 	    0.54438 
med  raw eQQ diff.....     1.1184 	 	   0.046544 
max  raw eQQ diff.....     4.1068 	 	     2.2259 

mean eCDF diff........    0.13864 	 	   0.077381 
med  eCDF diff........    0.13667 	 	   0.083333 
max  eCDF diff........        0.3 	 	    0.16667 

var ratio (Tr/Co).....     1.0044 	 	     1.1507 
T-test p-value........     0.2972 	 	    0.41368 
KS Bootstrap p-value..      0.258 	 	       0.95 
KS Naive p-value......     0.4589 	 	    0.99626 
KS Statistic..........        0.3 	 	    0.16667 


Before Matching Minimum p.value: 0.23 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.35385 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.26138 
std mean diff.........     79.709 	 	     82.148 

mean raw eQQ diff.....    0.28577 	 	    0.29255 
med  raw eQQ diff.....    0.27444 	 	    0.23158 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.28704 	 	    0.28205 
med  eCDF diff........      0.285 	 	    0.33333 
max  eCDF diff........    0.47333 	 	    0.41667 

var ratio (Tr/Co).....     1.4661 	 	     1.6072 
T-test p-value........   0.027314 	 	   0.078763 
KS Bootstrap p-value..      0.023 	 	      0.198 
KS Naive p-value......   0.052864 	 	    0.24855 
KS Statistic..........    0.47333 	 	    0.41667 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.9298 
std mean diff.........     -99.54 	 	    -133.79 

mean raw eQQ diff.....    0.89356 	 	     1.3726 
med  raw eQQ diff.....    0.60014 	 	     1.2223 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	    0.26136 
med  eCDF diff........      0.195 	 	       0.25 
max  eCDF diff........    0.35333 	 	    0.41667 

var ratio (Tr/Co).....    0.58792 	 	    0.50037 
T-test p-value........   0.016254 	 	   0.014002 
KS Bootstrap p-value..      0.176 	 	      0.211 
KS Naive p-value......    0.26351 	 	    0.24855 
KS Statistic..........    0.35333 	 	    0.41667 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.20649 
std mean diff.........     23.726 	 	     22.189 

mean raw eQQ diff.....    0.11707 	 	    0.09624 
med  raw eQQ diff.....   0.060407 	 	   0.060407 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	   0.071429 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.9405 
T-test p-value........     0.4614 	 	    0.54303 
KS Bootstrap p-value..        0.8 	 	      0.951 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	     0.3401 
std mean diff.........     30.287 	 	     22.136 

mean raw eQQ diff.....    0.09584 	 	   0.076139 
med  raw eQQ diff.....    0.10581 	 	   0.074537 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.15908 	 	     0.1625 
med  eCDF diff........       0.12 	 	    0.16667 
max  eCDF diff........    0.47667 	 	    0.41667 

var ratio (Tr/Co).....    0.82072 	 	     0.7357 
T-test p-value........    0.41287 	 	    0.63108 
KS Bootstrap p-value..      0.022 	 	       0.21 
KS Naive p-value......   0.050218 	 	    0.24855 
KS Statistic..........    0.47667 	 	    0.41667 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.9534 
std mean diff.........    -54.541 	 	    -84.813 

mean raw eQQ diff.....    0.66496 	 	    0.74824 
med  raw eQQ diff.....    0.45889 	 	    0.48001 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16241 	 	     0.1413 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.33333 

var ratio (Tr/Co).....    0.21619 	 	    0.16288 
T-test p-value........    0.29962 	 	    0.25992 
KS Bootstrap p-value..      0.216 	 	      0.452 
KS Naive p-value......    0.37747 	 	    0.51755 
KS Statistic..........       0.32 	 	    0.33333 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	     0.2283 
std mean diff.........     1.5224 	 	    0.48161 

mean raw eQQ diff.....   0.056243 	 	   0.057142 
med  raw eQQ diff.....   0.047727 	 	   0.049517 
max  raw eQQ diff.....    0.11429 	 	    0.11905 

mean eCDF diff........   0.069855 	 	   0.069444 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	    0.16667 

var ratio (Tr/Co).....    0.90756 	 	    0.79633 
T-test p-value........    0.96635 	 	    0.98938 
KS Bootstrap p-value..      0.714 	 	      0.978 
KS Naive p-value......    0.91242 	 	    0.99626 
KS Statistic..........    0.19667 	 	    0.16667 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.014002 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata     strat                                                                   
                        stat    South1=0  South1=1  adj.diff adj.diff.null.sd  std.diff      z             
vars                                                                                                       
ForceUS.prop.prev5             0.261378  0.553928  0.292551         0.173000  0.912138  1.691044  .        
ave.log.duration.prev5         2.929767  1.557154  -1.372613        0.615117  -1.092650 -2.231468 *        
ave.outcome.prev5              0.206487  0.291363  0.084876         0.137426  0.254916  0.617615           
ForceUS.prop.prev10            0.340100  0.388461  0.048361         0.098904  0.203807  0.488970           
ave.log.duration.prev10        2.953415  2.523809  -0.429607        0.382351  -0.448890 -1.123593          
ave.outcome.prev10             0.228298  0.229243  0.000945         0.069412  0.004535  0.013618           
---Overall Test---
      chisquare df p.value
strat      8.03  6   0.236
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -6 
$p.values
ForceUS     NPC 
  0.869   0.869 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22258824 82.13284034  0.04685714 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1779642 83.6389340  0.1126653 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 27.155765   2.444680   6.167664 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.0284122  2.6134459  0.9981339 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs TRUE ***


Thu Apr 23 00:03:55 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	5.506913e-01  6.276400e-01  6.439047e-01  8.474885e-01  8.474885e-01  8.927214e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	6.439047e-01  8.448750e-01  8.474885e-01  8.474885e-01  9.001686e-01  9.309294e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.439047e-01  8.448750e-01  8.474885e-01  8.474885e-01  9.001686e-01  9.309294e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.168864e+02
 X[ 2] :	4.192560e+02
 X[ 3] :	9.588436e+02
 X[ 4] :	8.381350e+02
 X[ 5] :	2.686096e+01
 X[ 6] :	7.294263e+01
 X[ 7] :	2.096878e+02

Solution Found Generation 1
Number of Generations Run 12

Thu Apr 23 00:13:06 2015
Total run time : 0 hours 9 minutes and 11 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4         Grant         7          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15         Nixon        12          9
10      Carter         9          7          Ford         4          4
11     Clinton        24         10        Reagan        33         24
12 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	        0.5 
std mean diff.........    -11.489 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....     1.0626 	 	          1 
T-test p-value........     0.7444 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1899.4 
std mean diff.........    -12.966 	 	    0.56949 

mean raw eQQ diff.....         22 	 	       8.75 
med  raw eQQ diff.....         23 	 	          8 
max  raw eQQ diff.....         36 	 	         20 

mean eCDF diff........    0.12369 	 	   0.055556 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	    0.16667 

var ratio (Tr/Co).....     2.0131 	 	     1.1735 
T-test p-value........     0.6917 	 	    0.93093 
KS Bootstrap p-value..      0.222 	 	      0.992 
KS Naive p-value......    0.26194 	 	    0.99626 
KS Statistic..........    0.33667 	 	    0.16667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.6837 
std mean diff.........     -21.84 	 	     3.9561 

mean raw eQQ diff.....    0.26647 	 	    0.32972 
med  raw eQQ diff.....   0.078002 	 	    0.29309 
max  raw eQQ diff.....     1.0986 	 	    0.89794 

mean eCDF diff........   0.073651 	 	    0.10256 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     1.6555 
T-test p-value........     0.5163 	 	    0.90017 
KS Bootstrap p-value..      0.621 	 	      0.706 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	       7.75 
std mean diff.........    0.94804 	 	    -2.4948 

mean raw eQQ diff.....     1.4167 	 	     1.8333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.073556 	 	   0.090278 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     1.5426 
T-test p-value........    0.97783 	 	    0.84487 
KS Bootstrap p-value..      0.615 	 	      0.733 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     5.6249 
std mean diff.........     37.483 	 	     8.4617 

mean raw eQQ diff.....     1.5996 	 	    0.45083 
med  raw eQQ diff.....     1.1184 	 	   0.046544 
max  raw eQQ diff.....     4.1068 	 	     2.2259 

mean eCDF diff........    0.13864 	 	   0.090278 
med  eCDF diff........    0.13667 	 	   0.083333 
max  eCDF diff........        0.3 	 	    0.16667 

var ratio (Tr/Co).....     1.0044 	 	     1.2924 
T-test p-value........     0.2972 	 	     0.6439 
KS Bootstrap p-value..      0.267 	 	      0.949 
KS Naive p-value......     0.4589 	 	    0.99626 
KS Statistic..........        0.3 	 	    0.16667 


Before Matching Minimum p.value: 0.222 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.6439 
Variable Name(s): TermYrsAdj  Number(s): 7 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.4242 
std mean diff.........     79.709 	 	     36.428 

mean raw eQQ diff.....    0.28577 	 	    0.12973 
med  raw eQQ diff.....    0.27444 	 	    0.10777 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.13462 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.92258 
T-test p-value........   0.027314 	 	    0.30743 
KS Bootstrap p-value..      0.023 	 	      0.396 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	      2.643 
std mean diff.........     -99.54 	 	    -105.84 

mean raw eQQ diff.....    0.89356 	 	     1.0858 
med  raw eQQ diff.....    0.60014 	 	     1.1918 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	     0.1886 
med  eCDF diff........      0.195 	 	    0.16667 
max  eCDF diff........    0.35333 	 	    0.33333 

var ratio (Tr/Co).....    0.58792 	 	    0.59267 
T-test p-value........   0.016254 	 	   0.010787 
KS Bootstrap p-value..      0.176 	 	      0.435 
KS Naive p-value......    0.26351 	 	    0.51755 
KS Statistic..........    0.35333 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.25008 
std mean diff.........     23.726 	 	     10.793 

mean raw eQQ diff.....    0.11707 	 	    0.14987 
med  raw eQQ diff.....   0.060407 	 	    0.13095 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	    0.11111 
med  eCDF diff........   0.053333 	 	      0.125 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.5912 
T-test p-value........     0.4614 	 	    0.70656 
KS Bootstrap p-value..        0.8 	 	      0.962 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.44982 
std mean diff.........     30.287 	 	    -28.083 

mean raw eQQ diff.....    0.09584 	 	    0.10604 
med  raw eQQ diff.....    0.10581 	 	   0.041204 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	   0.088235 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	    0.41415 
T-test p-value........    0.41287 	 	    0.58086 
KS Bootstrap p-value..      0.022 	 	      0.752 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.6456 
std mean diff.........    -54.541 	 	    -24.035 

mean raw eQQ diff.....    0.66496 	 	    0.74239 
med  raw eQQ diff.....    0.45889 	 	    0.61716 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16241 	 	    0.17083 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.16058 
T-test p-value........    0.29962 	 	    0.74871 
KS Bootstrap p-value..      0.216 	 	        0.2 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.29736 
std mean diff.........     1.5224 	 	    -34.706 

mean raw eQQ diff.....   0.056243 	 	     0.1213 
med  raw eQQ diff.....   0.047727 	 	     0.1146 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.13725 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.43129 
T-test p-value........    0.96635 	 	    0.30537 
KS Bootstrap p-value..      0.714 	 	      0.774 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.010787 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4242   0.5539   0.1297           0.1269   0.3569  1.0226         
ave.log.duration.prev5          2.6430   1.5572   -1.0858          0.4732   -0.9131 -2.2948 *      
ave.outcome.prev5               0.2501   0.2914   0.0413           0.1075   0.1196  0.3840         
ForceUS.prop.prev10             0.4498   0.3885   -0.0614          0.1093   -0.2149 -0.5614        
ave.log.duration.prev10         2.6456   2.5238   -0.1217          0.3723   -0.1264 -0.3270        
ave.outcome.prev10              0.2974   0.2292   -0.0681          0.0663   -0.2694 -1.0267        
---Overall Test---
      chisquare df p.value
strat      8.51  6   0.203
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
    -21 
$p.values
ForceUS     NPC 
  0.765   0.765 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.22058824 85.48655462  0.02142857 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.05917208 97.24583634 -0.05368567 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 28.566176   3.256042   3.567857 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.6772907  3.1539078  0.3673194 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs FALSE ***


Thu Apr 23 01:16:13 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.219136e-02  7.236296e-02  7.449479e-02  9.956185e-02  1.320026e-01  2.193770e-01  2.552072e-01  3.186800e-01  3.186800e-01  4.181476e-01  4.833254e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.246287e-01  5.658645e-01  5.700023e-01  5.700023e-01  5.772732e-01  6.291654e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.330396e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.273675e-02  7.495813e-02  7.548324e-02  9.956185e-02  1.320026e-01  2.347278e-01  3.186800e-01  3.186800e-01  3.342535e-01  4.774121e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.352113e-01  5.387917e-01  5.462441e-01  5.700023e-01  5.700023e-01  5.732613e-01  6.314623e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.399045e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	7.333568e-02  7.522203e-02  8.596670e-02  9.956185e-02  1.320026e-01  2.745408e-01  3.186800e-01  3.186800e-01  3.219223e-01  4.795294e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.352113e-01  5.387917e-01  5.462441e-01  5.700023e-01  5.700023e-01  5.839759e-01  6.025598e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.399045e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.333568e-02  7.522203e-02  8.596670e-02  9.956185e-02  1.320026e-01  2.745408e-01  3.186800e-01  3.186800e-01  3.219223e-01  4.795294e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.352113e-01  5.387917e-01  5.462441e-01  5.700023e-01  5.700023e-01  5.839759e-01  6.025598e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.399045e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.453415e+02
 X[ 2] :	5.328275e+02
 X[ 3] :	6.083882e+01
 X[ 4] :	3.557780e+02
 X[ 5] :	8.504064e+02
 X[ 6] :	6.144064e+02
 X[ 7] :	3.686235e+02
 X[ 8] :	9.516802e+01
 X[ 9] :	4.923372e+02
 X[10] :	1.163483e+02
 X[11] :	8.741732e+02
 X[12] :	1.411701e+01
 X[13] :	7.527647e+02
 X[14] :	8.439955e+01
 X[15] :	4.492737e+02
 X[16] :	4.578858e+02
 X[17] :	9.392948e+02
 X[18] :	2.245798e+02

Solution Found Generation 2
Number of Generations Run 13

Thu Apr 23 01:37:56 2015
Total run time : 0 hours 21 minutes and 43 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Grant         7          6
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2      Van Buren         4          4
5         Polk         1          1       Buchanan         6          5
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4           Ford         4          4
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7 Bush, G. H. W.         8          5
11     Clinton        24         10         Reagan        33         24
12 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.58333 
std mean diff.........    -11.489 	 	    -15.957 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.041667 
med  eCDF diff........       0.03 	 	   0.041667 
max  eCDF diff........       0.06 	 	   0.083333 

var ratio (Tr/Co).....     1.0626 	 	     1.0286 
T-test p-value........     0.7444 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1918.1 
std mean diff.........    -12.966 	 	    -24.944 

mean raw eQQ diff.....         22 	 	     18.917 
med  raw eQQ diff.....         23 	 	         18 
max  raw eQQ diff.....         36 	 	         36 

mean eCDF diff........    0.12369 	 	   0.090278 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	       0.25 

var ratio (Tr/Co).....     2.0131 	 	     1.2944 
T-test p-value........     0.6917 	 	   0.073336 
KS Bootstrap p-value..      0.222 	 	      0.813 
KS Naive p-value......    0.26194 	 	    0.86898 
KS Statistic..........    0.33667 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     2.0299 
std mean diff.........     -21.84 	 	    -23.044 

mean raw eQQ diff.....    0.26647 	 	    0.43819 
med  raw eQQ diff.....   0.078002 	 	    0.38056 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.073651 	 	    0.10119 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     1.8397 
T-test p-value........     0.5163 	 	    0.47953 
KS Bootstrap p-value..      0.621 	 	      0.727 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     9.0833 
std mean diff.........    0.94804 	 	    -22.453 

mean raw eQQ diff.....     1.4167 	 	     1.8333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          5 	 	          4 

mean eCDF diff........   0.073556 	 	    0.10556 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     1.0605 
T-test p-value........    0.97783 	 	    0.27454 
KS Bootstrap p-value..      0.615 	 	      0.757 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     5.1907 
std mean diff.........     37.483 	 	     26.514 

mean raw eQQ diff.....     1.5996 	 	     1.4508 
med  raw eQQ diff.....     1.1184 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.15556 
med  eCDF diff........    0.13667 	 	    0.16667 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	    0.62952 
T-test p-value........     0.2972 	 	    0.53879 
KS Bootstrap p-value..      0.267 	 	      0.373 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.3465 
std mean diff.........     79.709 	 	     58.246 

mean raw eQQ diff.....    0.28577 	 	    0.20743 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.18452 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	     1.4541 
T-test p-value........   0.027314 	 	   0.085967 
KS Bootstrap p-value..      0.025 	 	      0.421 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1104 
std mean diff.........     -99.54 	 	    -53.924 

mean raw eQQ diff.....    0.89356 	 	    0.55323 
med  raw eQQ diff.....    0.60014 	 	    0.29823 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.11111 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.87711 
T-test p-value........   0.016254 	 	   0.075222 
KS Bootstrap p-value..      0.161 	 	      0.814 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22355 
std mean diff.........     23.726 	 	     17.728 

mean raw eQQ diff.....    0.11707 	 	   0.093065 
med  raw eQQ diff.....   0.060407 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	   0.061111 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	      2.018 
T-test p-value........     0.4614 	 	    0.53521 
KS Bootstrap p-value..      0.759 	 	      0.964 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35207 
std mean diff.........     30.287 	 	     16.655 

mean raw eQQ diff.....    0.09584 	 	   0.053054 
med  raw eQQ diff.....    0.10581 	 	   0.052935 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.77792 
T-test p-value........    0.41287 	 	    0.58398 
KS Bootstrap p-value..      0.015 	 	      0.462 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4156 
std mean diff.........    -54.541 	 	      21.37 

mean raw eQQ diff.....    0.66496 	 	    0.40258 
med  raw eQQ diff.....    0.45889 	 	    0.31616 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.21739 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	     0.4284 
T-test p-value........    0.29962 	 	    0.60256 
KS Bootstrap p-value..       0.24 	 	      0.071 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22596 
std mean diff.........     1.5224 	 	     1.6718 

mean raw eQQ diff.....   0.056243 	 	   0.076358 
med  raw eQQ diff.....   0.047727 	 	   0.070971 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.069855 	 	    0.10648 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.70737 
T-test p-value........    0.96635 	 	     0.9399 
KS Bootstrap p-value..      0.695 	 	      0.787 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	   0.083333 
std mean diff.........     11.989 	 	     21.409 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.023333 	 	   0.041667 
med  eCDF diff........   0.023333 	 	   0.041667 
max  eCDF diff........   0.046667 	 	   0.083333 

var ratio (Tr/Co).....     1.3774 	 	     1.8182 
T-test p-value........    0.72456 	 	       0.57 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.1058 
std mean diff.........    -56.405 	 	    -34.386 

mean raw eQQ diff.....     1.3865 	 	    0.94331 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........      0.147 	 	   0.083333 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     1.6302 
T-test p-value........    0.10344 	 	      0.132 
KS Bootstrap p-value..      0.066 	 	      0.948 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     38.427 
std mean diff.........     -5.883 	 	    -19.826 

mean raw eQQ diff.....     3.4047 	 	     5.1118 
med  raw eQQ diff.....     3.4913 	 	     5.4095 
max  raw eQQ diff.....     5.8095 	 	     13.667 

mean eCDF diff........   0.062157 	 	   0.079365 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	    0.81378 
T-test p-value........    0.87014 	 	    0.32192 
KS Bootstrap p-value..      0.811 	 	       0.79 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.41667 
std mean diff.........     11.005 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028333 	 	          0 
med  eCDF diff........   0.028333 	 	          0 
max  eCDF diff........   0.056667 	 	          0 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	         19 
std mean diff.........     8.4442 	 	     -13.62 

mean raw eQQ diff.....     3.5833 	 	     2.8333 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.061014 	 	   0.048246 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	    0.91938 
T-test p-value........     0.8048 	 	    0.54624 
KS Bootstrap p-value..       0.86 	 	      0.987 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


Before Matching Minimum p.value: 0.015 
Variable Name(s): ForceUS.prop.prev10  Number(s): 11 

After Matching Minimum p.value: 0.071 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.3465 
std mean diff.........     79.709 	 	     58.246 

mean raw eQQ diff.....    0.28577 	 	    0.20743 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.18452 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	     1.4541 
T-test p-value........   0.027314 	 	   0.085967 
KS Bootstrap p-value..      0.023 	 	      0.396 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1104 
std mean diff.........     -99.54 	 	    -53.924 

mean raw eQQ diff.....    0.89356 	 	    0.55323 
med  raw eQQ diff.....    0.60014 	 	    0.29823 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.11111 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.87711 
T-test p-value........   0.016254 	 	   0.075222 
KS Bootstrap p-value..      0.176 	 	      0.778 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22355 
std mean diff.........     23.726 	 	     17.728 

mean raw eQQ diff.....    0.11707 	 	   0.093065 
med  raw eQQ diff.....   0.060407 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	   0.061111 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	      2.018 
T-test p-value........     0.4614 	 	    0.53521 
KS Bootstrap p-value..        0.8 	 	      0.969 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35207 
std mean diff.........     30.287 	 	     16.655 

mean raw eQQ diff.....    0.09584 	 	   0.053054 
med  raw eQQ diff.....    0.10581 	 	   0.052935 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.77792 
T-test p-value........    0.41287 	 	    0.58398 
KS Bootstrap p-value..      0.022 	 	      0.434 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4156 
std mean diff.........    -54.541 	 	      21.37 

mean raw eQQ diff.....    0.66496 	 	    0.40258 
med  raw eQQ diff.....    0.45889 	 	    0.31616 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.21739 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	     0.4284 
T-test p-value........    0.29962 	 	    0.60256 
KS Bootstrap p-value..      0.216 	 	      0.073 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22596 
std mean diff.........     1.5224 	 	     1.6718 

mean raw eQQ diff.....   0.056243 	 	   0.076358 
med  raw eQQ diff.....   0.047727 	 	   0.070971 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.069855 	 	    0.10648 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.70737 
T-test p-value........    0.96635 	 	     0.9399 
KS Bootstrap p-value..      0.714 	 	       0.78 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.073 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.34650  0.55393  0.20743          0.12523  0.63407  1.65639  .       
ave.log.duration.prev5         2.11039  1.55715  -0.55323         0.32374  -0.52129 -1.70890 .       
ave.outcome.prev5              0.22355  0.29136  0.06781          0.10773  0.20501  0.62945          
ForceUS.prop.prev10            0.35207  0.38846  0.03639          0.06535  0.15580  0.55681          
ave.log.duration.prev10        2.41556  2.52381  0.10825          0.20432  0.16551  0.52980          
ave.outcome.prev10             0.22596  0.22924  0.00328          0.04255  0.01522  0.07711          
---Overall Test---
      chisquare df p.value
strat      5.16  6   0.523
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     22 
$p.values
ForceUS     NPC 
  0.508   0.508 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.17161916 77.94620116 -0.01178203 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.14866522 78.93827261  0.08938492 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
18.5348696  2.0703631 -0.5894482 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5830274  2.1357230  0.3942251 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs TRUE ***


Thu Apr 23 02:43:26 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.956185e-02  1.220477e-01  1.695598e-01  1.928704e-01  1.933352e-01  1.946808e-01  2.668842e-01  3.049704e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.962069e-01  5.175508e-01  5.175508e-01  5.175508e-01  6.286887e-01  6.919309e-01  7.193154e-01  7.348812e-01  7.829733e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.956185e-02  1.220477e-01  1.695598e-01  1.928704e-01  1.933352e-01  1.946808e-01  2.668842e-01  3.049704e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.962069e-01  5.175508e-01  5.175508e-01  5.175508e-01  6.286887e-01  6.919309e-01  7.193154e-01  7.348812e-01  7.829733e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.892590e+02
 X[ 2] :	8.928075e+02
 X[ 3] :	4.201682e+02
 X[ 4] :	4.515592e+02
 X[ 5] :	5.486537e+01
 X[ 6] :	9.378750e+02
 X[ 7] :	7.375347e+02
 X[ 8] :	9.624290e+02
 X[ 9] :	8.585825e+02
 X[10] :	2.430461e+01
 X[11] :	3.982093e+01
 X[12] :	3.862594e+02
 X[13] :	3.385460e+02
 X[14] :	8.042155e+02
 X[15] :	6.955285e+02
 X[16] :	2.933601e+02
 X[17] :	1.363634e+02
 X[18] :	7.788531e+02

Solution Found Generation 1
Number of Generations Run 11

Thu Apr 23 03:04:08 2015
Total run time : 0 hours 20 minutes and 42 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1   Adams, J. Q.         1          0
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4     Eisenhower        28         18
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7           Ford         4          4
11     Clinton        24         10         Reagan        33         24
12 Bush, G. W.        24         20         Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	        0.5 
std mean diff.........    -11.489 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....     1.0626 	 	          1 
T-test p-value........     0.7444 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1901.4 
std mean diff.........    -12.966 	 	    -2.1641 

mean raw eQQ diff.....         22 	 	     10.917 
med  raw eQQ diff.....         23 	 	         12 
max  raw eQQ diff.....         36 	 	         16 

mean eCDF diff........    0.12369 	 	   0.066667 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	    0.16667 

var ratio (Tr/Co).....     2.0131 	 	     1.0901 
T-test p-value........     0.6917 	 	    0.71932 
KS Bootstrap p-value..      0.222 	 	      0.988 
KS Naive p-value......    0.26194 	 	    0.99626 
KS Statistic..........    0.33667 	 	    0.16667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.33333 
std mean diff.........    -4.5314 	 	     16.183 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.011667 	 	   0.041667 
med  eCDF diff........   0.011667 	 	   0.041667 
max  eCDF diff........   0.023333 	 	   0.083333 

var ratio (Tr/Co).....     1.0331 	 	     1.0938 
T-test p-value........    0.89801 	 	    0.31868 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     2.0029 
std mean diff.........     -21.84 	 	    -20.939 

mean raw eQQ diff.....    0.26647 	 	    0.55984 
med  raw eQQ diff.....   0.078002 	 	     0.5317 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.073651 	 	    0.11538 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     2.1849 
T-test p-value........     0.5163 	 	    0.49621 
KS Bootstrap p-value..      0.621 	 	      0.705 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     7.9167 
std mean diff.........    0.94804 	 	    -4.9897 

mean raw eQQ diff.....     1.4167 	 	          2 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          5 	 	          6 

mean eCDF diff........   0.073556 	 	   0.096154 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     1.5892 
T-test p-value........    0.97783 	 	    0.69193 
KS Bootstrap p-value..      0.615 	 	      0.719 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	      5.117 
std mean diff.........     37.483 	 	     29.578 

mean raw eQQ diff.....     1.5996 	 	    0.93954 
med  raw eQQ diff.....     1.1184 	 	    0.26146 
max  raw eQQ diff.....     4.1068 	 	          4 

mean eCDF diff........    0.13864 	 	    0.12879 
med  eCDF diff........    0.13667 	 	   0.083333 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	     1.3302 
T-test p-value........     0.2972 	 	    0.19468 
KS Bootstrap p-value..      0.267 	 	      0.318 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.48035 
std mean diff.........     79.709 	 	     20.661 

mean raw eQQ diff.....    0.28577 	 	    0.07358 
med  raw eQQ diff.....    0.27444 	 	   0.089286 
max  raw eQQ diff.....    0.66667 	 	    0.13636 

mean eCDF diff........    0.28704 	 	    0.12179 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.78215 
T-test p-value........   0.027314 	 	    0.19287 
KS Bootstrap p-value..      0.025 	 	      0.401 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1138 
std mean diff.........     -99.54 	 	    -54.257 

mean raw eQQ diff.....    0.89356 	 	    0.60021 
med  raw eQQ diff.....    0.60014 	 	    0.29429 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	    0.12255 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.65383 
T-test p-value........   0.016254 	 	    0.12205 
KS Bootstrap p-value..      0.161 	 	      0.776 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.25662 
std mean diff.........     23.726 	 	     9.0816 

mean raw eQQ diff.....    0.11707 	 	    0.15245 
med  raw eQQ diff.....   0.060407 	 	    0.12179 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.097222 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.7539 
T-test p-value........     0.4614 	 	    0.73488 
KS Bootstrap p-value..      0.759 	 	      0.954 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.49415 
std mean diff.........     30.287 	 	    -48.375 

mean raw eQQ diff.....    0.09584 	 	    0.16047 
med  raw eQQ diff.....    0.10581 	 	   0.048389 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.15908 	 	   0.088235 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	     0.3272 
T-test p-value........    0.41287 	 	    0.19334 
KS Bootstrap p-value..      0.015 	 	      0.775 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2499 
std mean diff.........    -54.541 	 	     54.081 

mean raw eQQ diff.....    0.66496 	 	    0.57821 
med  raw eQQ diff.....    0.45889 	 	    0.36092 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.16241 	 	    0.25439 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.31862 
T-test p-value........    0.29962 	 	    0.30497 
KS Bootstrap p-value..       0.24 	 	      0.073 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.31356 
std mean diff.........     1.5224 	 	    -42.959 

mean raw eQQ diff.....   0.056243 	 	    0.13366 
med  raw eQQ diff.....   0.047727 	 	        0.1 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.069855 	 	      0.125 
med  eCDF diff........       0.06 	 	      0.125 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.36702 
T-test p-value........    0.96635 	 	    0.16956 
KS Bootstrap p-value..      0.695 	 	       0.43 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	   0.083333 
std mean diff.........     11.989 	 	     21.409 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.023333 	 	   0.041667 
med  eCDF diff........   0.023333 	 	   0.041667 
max  eCDF diff........   0.046667 	 	   0.083333 

var ratio (Tr/Co).....     1.3774 	 	     1.8182 
T-test p-value........    0.72456 	 	    0.31868 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.3105 
std mean diff.........    -56.405 	 	    -26.812 

mean raw eQQ diff.....     1.3865 	 	     1.0184 
med  raw eQQ diff.....     1.2586 	 	   0.043206 
max  raw eQQ diff.....     4.1458 	 	     5.0585 

mean eCDF diff........      0.147 	 	   0.083333 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     3.5625 
T-test p-value........    0.10344 	 	    0.26688 
KS Bootstrap p-value..      0.066 	 	      0.908 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     35.908 
std mean diff.........     -5.883 	 	    -6.4359 

mean raw eQQ diff.....     3.4047 	 	     6.3385 
med  raw eQQ diff.....     3.4913 	 	     5.4095 
max  raw eQQ diff.....     5.8095 	 	         19 

mean eCDF diff........   0.062157 	 	    0.10648 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	    0.66599 
T-test p-value........    0.87014 	 	    0.78297 
KS Bootstrap p-value..      0.811 	 	      0.766 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.58333 
std mean diff.........     11.005 	 	    -32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028333 	 	   0.083333 
med  eCDF diff........   0.028333 	 	   0.083333 
max  eCDF diff........   0.056667 	 	    0.16667 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	         16 
std mean diff.........     8.4442 	 	     6.8099 

mean raw eQQ diff.....     3.5833 	 	        4.5 
med  raw eQQ diff.....        1.5 	 	          4 
max  raw eQQ diff.....         12 	 	         12 

mean eCDF diff........   0.061014 	 	   0.094444 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	       0.25 

var ratio (Tr/Co).....     1.3227 	 	     1.1696 
T-test p-value........     0.8048 	 	    0.62869 
KS Bootstrap p-value..       0.86 	 	      0.736 
KS Naive p-value......    0.97793 	 	    0.84749 
KS Statistic..........    0.16667 	 	       0.25 


Before Matching Minimum p.value: 0.015 
Variable Name(s): ForceUS.prop.prev10  Number(s): 11 

After Matching Minimum p.value: 0.073 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.48035 
std mean diff.........     79.709 	 	     20.661 

mean raw eQQ diff.....    0.28577 	 	    0.07358 
med  raw eQQ diff.....    0.27444 	 	   0.089286 
max  raw eQQ diff.....    0.66667 	 	    0.13636 

mean eCDF diff........    0.28704 	 	    0.12179 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.78215 
T-test p-value........   0.027314 	 	    0.19287 
KS Bootstrap p-value..      0.023 	 	      0.384 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1138 
std mean diff.........     -99.54 	 	    -54.257 

mean raw eQQ diff.....    0.89356 	 	    0.60021 
med  raw eQQ diff.....    0.60014 	 	    0.29429 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	    0.12255 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.65383 
T-test p-value........   0.016254 	 	    0.12205 
KS Bootstrap p-value..      0.176 	 	      0.742 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.25662 
std mean diff.........     23.726 	 	     9.0816 

mean raw eQQ diff.....    0.11707 	 	    0.15245 
med  raw eQQ diff.....   0.060407 	 	    0.12179 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.097222 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.7539 
T-test p-value........     0.4614 	 	    0.73488 
KS Bootstrap p-value..        0.8 	 	      0.954 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.49415 
std mean diff.........     30.287 	 	    -48.375 

mean raw eQQ diff.....    0.09584 	 	    0.16047 
med  raw eQQ diff.....    0.10581 	 	   0.048389 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.15908 	 	   0.088235 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	     0.3272 
T-test p-value........    0.41287 	 	    0.19334 
KS Bootstrap p-value..      0.022 	 	      0.733 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2499 
std mean diff.........    -54.541 	 	     54.081 

mean raw eQQ diff.....    0.66496 	 	    0.57821 
med  raw eQQ diff.....    0.45889 	 	    0.36092 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.16241 	 	    0.25439 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.31862 
T-test p-value........    0.29962 	 	    0.30497 
KS Bootstrap p-value..      0.216 	 	      0.087 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.31356 
std mean diff.........     1.5224 	 	    -42.959 

mean raw eQQ diff.....   0.056243 	 	    0.13366 
med  raw eQQ diff.....   0.047727 	 	        0.1 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.069855 	 	      0.125 
med  eCDF diff........       0.06 	 	      0.125 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.36702 
T-test p-value........    0.96635 	 	    0.16956 
KS Bootstrap p-value..      0.714 	 	      0.427 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.087 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4803   0.5539   0.0736           0.0571   0.1936  1.2877         
ave.log.duration.prev5          2.1138   1.5572   -0.5567          0.3691   -0.4825 -1.5081        
ave.outcome.prev5               0.2566   0.2914   0.0347           0.1005   0.1025  0.3456         
ForceUS.prop.prev10             0.4941   0.3885   -0.1057          0.0822   -0.3397 -1.2865        
ave.log.duration.prev10         2.2499   2.5238   0.2739           0.2666   0.3760  1.0276         
ave.outcome.prev10              0.3136   0.2292   -0.0843          0.0623   -0.3148 -1.3532        
---Overall Test---
      chisquare df p.value
strat      9.22  6   0.161
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -8 
$p.values
ForceUS     NPC 
  0.926   0.926 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.20287170 79.05359624  0.01687289 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.01473665 94.68829666 -0.11172138 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 24.953219   2.801403   2.718322 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.0283022  2.7499945  0.3137249 

Closed Testing
Intersection 1 of 7 

*** primary party.covs FALSE ***


Thu Apr 23 04:11:02 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.901481e-02  6.977245e-02  7.421932e-02  9.956185e-02  1.320026e-01  1.496097e-01  1.496097e-01  2.267151e-01  2.368575e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.388007e-01  4.133248e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.279936e-01  5.337679e-01  5.610818e-01  5.700023e-01  5.700023e-01  6.286635e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.343822e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	7.219136e-02  7.236296e-02  7.449479e-02  9.956185e-02  1.320026e-01  1.496097e-01  1.496097e-01  2.193770e-01  2.552072e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.181476e-01  4.833254e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.246287e-01  5.658645e-01  5.700023e-01  5.700023e-01  5.772732e-01  6.291654e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.330396e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      9 	7.273675e-02  7.495813e-02  7.548324e-02  9.956185e-02  1.320026e-01  1.496097e-01  1.496097e-01  2.347278e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.342535e-01  4.774121e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.352113e-01  5.387917e-01  5.462441e-01  5.700023e-01  5.700023e-01  5.732613e-01  6.314623e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.399045e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.273675e-02  7.495813e-02  7.548324e-02  9.956185e-02  1.320026e-01  1.496097e-01  1.496097e-01  2.347278e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.342535e-01  4.774121e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.352113e-01  5.387917e-01  5.462441e-01  5.700023e-01  5.700023e-01  5.732613e-01  6.314623e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.399045e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.678752e+02
 X[ 2] :	7.986836e+02
 X[ 3] :	5.998436e+02
 X[ 4] :	7.023305e+02
 X[ 5] :	7.258439e+02
 X[ 6] :	6.886135e+02
 X[ 7] :	9.470477e+01
 X[ 8] :	1.006611e+02
 X[ 9] :	7.057243e+02
 X[10] :	1.751759e+02
 X[11] :	8.511909e+02
 X[12] :	5.544886e+02
 X[13] :	8.766754e+02
 X[14] :	3.735802e+02
 X[15] :	3.277844e+02
 X[16] :	5.848415e+02
 X[17] :	9.703748e+02
 X[18] :	1.317219e+02
 X[19] :	9.150401e+01
 X[20] :	2.722952e+02

Solution Found Generation 9
Number of Generations Run 20

Thu Apr 23 04:44:25 2015
Total run time : 0 hours 33 minutes and 23 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Grant         7          6
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4           Ford         4          4
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7 Bush, G. H. W.         8          5
11     Clinton        24         10         Reagan        33         24
12 Bush, G. W.        24         20          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.58333 
std mean diff.........    -11.489 	 	    -15.957 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.041667 
med  eCDF diff........       0.03 	 	   0.041667 
max  eCDF diff........       0.06 	 	   0.083333 

var ratio (Tr/Co).....     1.0626 	 	     1.0286 
T-test p-value........     0.7444 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1918.1 
std mean diff.........    -12.966 	 	    -24.944 

mean raw eQQ diff.....         22 	 	     18.917 
med  raw eQQ diff.....         23 	 	         18 
max  raw eQQ diff.....         36 	 	         36 

mean eCDF diff........    0.12369 	 	   0.090278 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	       0.25 

var ratio (Tr/Co).....     2.0131 	 	     1.2944 
T-test p-value........     0.6917 	 	   0.074958 
KS Bootstrap p-value..      0.222 	 	      0.808 
KS Naive p-value......    0.26194 	 	    0.86898 
KS Statistic..........    0.33667 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     2.0299 
std mean diff.........     -21.84 	 	    -23.044 

mean raw eQQ diff.....    0.26647 	 	    0.43819 
med  raw eQQ diff.....   0.078002 	 	    0.38056 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.073651 	 	    0.10119 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     1.8397 
T-test p-value........     0.5163 	 	    0.47741 
KS Bootstrap p-value..      0.621 	 	      0.733 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     9.0833 
std mean diff.........    0.94804 	 	    -22.453 

mean raw eQQ diff.....     1.4167 	 	     1.8333 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          5 	 	          4 

mean eCDF diff........   0.073556 	 	    0.10556 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     1.0605 
T-test p-value........    0.97783 	 	    0.23473 
KS Bootstrap p-value..      0.615 	 	       0.75 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     5.1907 
std mean diff.........     37.483 	 	     26.514 

mean raw eQQ diff.....     1.5996 	 	     1.4508 
med  raw eQQ diff.....     1.1184 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.15556 
med  eCDF diff........    0.13667 	 	    0.16667 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	    0.62952 
T-test p-value........     0.2972 	 	    0.53879 
KS Bootstrap p-value..      0.267 	 	      0.373 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.3465 
std mean diff.........     79.709 	 	     58.246 

mean raw eQQ diff.....    0.28577 	 	    0.20743 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.18452 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	     1.4541 
T-test p-value........   0.027314 	 	   0.075483 
KS Bootstrap p-value..      0.025 	 	      0.418 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1104 
std mean diff.........     -99.54 	 	    -53.924 

mean raw eQQ diff.....    0.89356 	 	    0.55323 
med  raw eQQ diff.....    0.60014 	 	    0.29823 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.11111 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.87711 
T-test p-value........   0.016254 	 	   0.072737 
KS Bootstrap p-value..      0.161 	 	      0.813 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22355 
std mean diff.........     23.726 	 	     17.728 

mean raw eQQ diff.....    0.11707 	 	   0.093065 
med  raw eQQ diff.....   0.060407 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	   0.061111 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	      2.018 
T-test p-value........     0.4614 	 	    0.53521 
KS Bootstrap p-value..      0.759 	 	      0.961 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35207 
std mean diff.........     30.287 	 	     16.655 

mean raw eQQ diff.....    0.09584 	 	   0.053054 
med  raw eQQ diff.....    0.10581 	 	   0.052935 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.77792 
T-test p-value........    0.41287 	 	    0.57326 
KS Bootstrap p-value..      0.015 	 	      0.469 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4156 
std mean diff.........    -54.541 	 	      21.37 

mean raw eQQ diff.....    0.66496 	 	    0.40258 
med  raw eQQ diff.....    0.45889 	 	    0.31616 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.21739 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	     0.4284 
T-test p-value........    0.29962 	 	    0.63146 
KS Bootstrap p-value..       0.24 	 	      0.071 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22596 
std mean diff.........     1.5224 	 	     1.6718 

mean raw eQQ diff.....   0.056243 	 	   0.076358 
med  raw eQQ diff.....   0.047727 	 	   0.070971 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.069855 	 	    0.10648 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.70737 
T-test p-value........    0.96635 	 	     0.9399 
KS Bootstrap p-value..      0.695 	 	      0.776 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	   0.083333 
std mean diff.........     11.989 	 	     21.409 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.023333 	 	   0.041667 
med  eCDF diff........   0.023333 	 	   0.041667 
max  eCDF diff........   0.046667 	 	   0.083333 

var ratio (Tr/Co).....     1.3774 	 	     1.8182 
T-test p-value........    0.72456 	 	       0.57 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.1058 
std mean diff.........    -56.405 	 	    -34.386 

mean raw eQQ diff.....     1.3865 	 	    0.94331 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........      0.147 	 	   0.083333 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     1.6302 
T-test p-value........    0.10344 	 	      0.132 
KS Bootstrap p-value..      0.066 	 	      0.948 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     38.427 
std mean diff.........     -5.883 	 	    -19.826 

mean raw eQQ diff.....     3.4047 	 	     5.1118 
med  raw eQQ diff.....     3.4913 	 	     5.4095 
max  raw eQQ diff.....     5.8095 	 	     13.667 

mean eCDF diff........   0.062157 	 	   0.079365 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	    0.81378 
T-test p-value........    0.87014 	 	    0.33425 
KS Bootstrap p-value..      0.811 	 	      0.776 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.41667 
std mean diff.........     11.005 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028333 	 	          0 
med  eCDF diff........   0.028333 	 	          0 
max  eCDF diff........   0.056667 	 	          0 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	         19 
std mean diff.........     8.4442 	 	     -13.62 

mean raw eQQ diff.....     3.5833 	 	     2.8333 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.061014 	 	   0.048246 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	    0.91938 
T-test p-value........     0.8048 	 	    0.54624 
KS Bootstrap p-value..       0.86 	 	      0.986 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	        0.5 
std mean diff.........     131.88 	 	     85.635 

mean raw eQQ diff.....        0.5 	 	    0.33333 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	    0.16667 
med  eCDF diff........    0.25667 	 	    0.16667 
max  eCDF diff........    0.51333 	 	    0.33333 

var ratio (Tr/Co).....    0.66845 	 	    0.55556 
T-test p-value........  0.0017432 	 	    0.14961 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.071 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.3465 
std mean diff.........     79.709 	 	     58.246 

mean raw eQQ diff.....    0.28577 	 	    0.20743 
med  raw eQQ diff.....    0.27444 	 	       0.15 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.18452 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	     1.4541 
T-test p-value........   0.027314 	 	   0.075483 
KS Bootstrap p-value..      0.023 	 	      0.385 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1104 
std mean diff.........     -99.54 	 	    -53.924 

mean raw eQQ diff.....    0.89356 	 	    0.55323 
med  raw eQQ diff.....    0.60014 	 	    0.29823 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.11111 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.87711 
T-test p-value........   0.016254 	 	   0.072737 
KS Bootstrap p-value..      0.176 	 	      0.771 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22355 
std mean diff.........     23.726 	 	     17.728 

mean raw eQQ diff.....    0.11707 	 	   0.093065 
med  raw eQQ diff.....   0.060407 	 	   0.020238 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.064737 	 	   0.061111 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	      2.018 
T-test p-value........     0.4614 	 	    0.53521 
KS Bootstrap p-value..        0.8 	 	      0.954 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35207 
std mean diff.........     30.287 	 	     16.655 

mean raw eQQ diff.....    0.09584 	 	   0.053054 
med  raw eQQ diff.....    0.10581 	 	   0.052935 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.77792 
T-test p-value........    0.41287 	 	    0.57326 
KS Bootstrap p-value..      0.022 	 	      0.417 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4156 
std mean diff.........    -54.541 	 	      21.37 

mean raw eQQ diff.....    0.66496 	 	    0.40258 
med  raw eQQ diff.....    0.45889 	 	    0.31616 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.21739 
med  eCDF diff........    0.15833 	 	       0.25 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	     0.4284 
T-test p-value........    0.29962 	 	    0.63146 
KS Bootstrap p-value..      0.216 	 	      0.073 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22596 
std mean diff.........     1.5224 	 	     1.6718 

mean raw eQQ diff.....   0.056243 	 	   0.076358 
med  raw eQQ diff.....   0.047727 	 	   0.070971 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.069855 	 	    0.10648 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.70737 
T-test p-value........    0.96635 	 	     0.9399 
KS Bootstrap p-value..      0.714 	 	      0.774 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.072737 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.34650  0.55393  0.20743          0.12148  0.63407  1.70757  .       
ave.log.duration.prev5         2.11039  1.55715  -0.55323         0.32131  -0.52129 -1.72180 .       
ave.outcome.prev5              0.22355  0.29136  0.06781          0.10773  0.20501  0.62945          
ForceUS.prop.prev10            0.35207  0.38846  0.03639          0.06355  0.15580  0.57254          
ave.log.duration.prev10        2.41556  2.52381  0.10825          0.22162  0.16551  0.48843          
ave.outcome.prev10             0.22596  0.22924  0.00328          0.04255  0.01522  0.07711          
---Overall Test---
      chisquare df p.value
strat      5.04  6   0.539
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     22 
$p.values
ForceUS     NPC 
  0.506   0.506 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.17161916 77.94620116 -0.01178203 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.14866522 78.93827261  0.08938492 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
18.5348696  2.0912502 -0.5894482 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5830249  2.1357230  0.3942251 

Closed Testing
Intersection 1 of 7 

*** primary party.covs TRUE ***


Thu Apr 23 05:53:55 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.322097e-02  9.956185e-02  1.069567e-01  1.097563e-01  1.122238e-01  1.652439e-01  1.655815e-01  2.485482e-01  2.485482e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.351657e-01  4.875317e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.925678e-01  6.074364e-01  6.567843e-01  8.401607e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.786489e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	9.956185e-02  1.204828e-01  1.291371e-01  1.496097e-01  1.496097e-01  1.639037e-01  2.123901e-01  3.054724e-01  3.186604e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.284633e-01  3.545811e-01  3.676791e-01  3.682274e-01  3.868253e-01  5.167520e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  7.649681e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	9.956185e-02  1.407727e-01  1.886234e-01  1.991622e-01  2.078761e-01  2.419017e-01  3.162207e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.334381e-01  3.726134e-01  4.452902e-01  5.070380e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.672630e-01  7.283968e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.934152e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.956185e-02  1.407727e-01  1.886234e-01  1.991622e-01  2.078761e-01  2.419017e-01  3.162207e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.334381e-01  3.726134e-01  4.452902e-01  5.070380e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.672630e-01  7.283968e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.934152e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.576108e+02
 X[ 2] :	7.638502e+02
 X[ 3] :	3.897862e+02
 X[ 4] :	3.803056e+01
 X[ 5] :	9.696891e+02
 X[ 6] :	6.531597e+02
 X[ 7] :	6.282475e+02
 X[ 8] :	8.716056e+02
 X[ 9] :	2.759325e+02
 X[10] :	3.748188e+02
 X[11] :	6.463165e+01
 X[12] :	5.884927e+02
 X[13] :	2.893081e+02
 X[14] :	4.986456e+02
 X[15] :	6.661715e+02
 X[16] :	7.809134e+02
 X[17] :	4.639103e+02
 X[18] :	9.007099e+02
 X[19] :	7.651620e+02
 X[20] :	1.455064e+02

Solution Found Generation 2
Number of Generations Run 13

Thu Apr 23 06:17:52 2015
Total run time : 0 hours 23 minutes and 57 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2       Lincoln         4          3
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7       Kennedy         9          3
11     Clinton        24         10         Obama         4          3
12 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	        0.5 
std mean diff.........    -11.489 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....     1.0626 	 	          1 
T-test p-value........     0.7444 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1901.3 
std mean diff.........    -12.966 	 	    -2.0502 

mean raw eQQ diff.....         22 	 	       10.5 
med  raw eQQ diff.....         23 	 	         10 
max  raw eQQ diff.....         36 	 	         20 

mean eCDF diff........    0.12369 	 	     0.0625 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	    0.16667 

var ratio (Tr/Co).....     2.0131 	 	     1.0585 
T-test p-value........     0.6917 	 	     0.7284 
KS Bootstrap p-value..      0.222 	 	      0.988 
KS Naive p-value......    0.26194 	 	    0.99626 
KS Statistic..........    0.33667 	 	    0.16667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.9915 
std mean diff.........     -21.84 	 	    -20.049 

mean raw eQQ diff.....    0.26647 	 	    0.59089 
med  raw eQQ diff.....   0.078002 	 	    0.51574 
max  raw eQQ diff.....     1.0986 	 	     2.1972 

mean eCDF diff........   0.073651 	 	    0.14394 
med  eCDF diff........   0.053333 	 	    0.16667 
max  eCDF diff........    0.21667 	 	    0.33333 

var ratio (Tr/Co).....     1.5702 	 	     1.8364 
T-test p-value........     0.5163 	 	    0.44529 
KS Bootstrap p-value..      0.621 	 	      0.368 
KS Naive p-value......    0.84107 	 	    0.51755 
KS Statistic..........    0.21667 	 	    0.33333 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	          9 
std mean diff.........    0.94804 	 	    -21.206 

mean raw eQQ diff.....     1.4167 	 	       1.75 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.073556 	 	    0.10556 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     1.1208 
T-test p-value........    0.97783 	 	     0.2419 
KS Bootstrap p-value..      0.615 	 	      0.759 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     4.9893 
std mean diff.........     37.483 	 	      34.89 

mean raw eQQ diff.....     1.5996 	 	     1.6523 
med  raw eQQ diff.....     1.1184 	 	     1.0609 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.14583 
med  eCDF diff........    0.13667 	 	      0.125 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	    0.68428 
T-test p-value........     0.2972 	 	    0.31622 
KS Bootstrap p-value..      0.267 	 	      0.357 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.4905 
std mean diff.........     79.709 	 	     17.811 

mean raw eQQ diff.....    0.28577 	 	   0.076416 
med  raw eQQ diff.....    0.27444 	 	   0.080628 
max  raw eQQ diff.....    0.66667 	 	        0.2 

mean eCDF diff........    0.28704 	 	    0.14881 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.69918 
T-test p-value........   0.027314 	 	    0.20788 
KS Bootstrap p-value..      0.025 	 	      0.415 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1334 
std mean diff.........     -99.54 	 	    -56.167 

mean raw eQQ diff.....    0.89356 	 	     0.6566 
med  raw eQQ diff.....    0.60014 	 	    0.28718 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	   0.087963 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.80199 
T-test p-value........   0.016254 	 	    0.14077 
KS Bootstrap p-value..      0.161 	 	      0.776 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.18496 
std mean diff.........     23.726 	 	     27.817 

mean raw eQQ diff.....    0.11707 	 	    0.13418 
med  raw eQQ diff.....   0.060407 	 	   0.066871 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	    0.10256 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     2.5913 
T-test p-value........     0.4614 	 	    0.18862 
KS Bootstrap p-value..      0.759 	 	      0.709 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.50374 
std mean diff.........     30.287 	 	    -52.766 

mean raw eQQ diff.....    0.09584 	 	    0.20458 
med  raw eQQ diff.....    0.10581 	 	    0.12579 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.15908 	 	    0.16176 
med  eCDF diff........       0.12 	 	    0.16667 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	     0.3057 
T-test p-value........    0.41287 	 	    0.19916 
KS Bootstrap p-value..      0.015 	 	      0.456 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2733 
std mean diff.........    -54.541 	 	     49.453 

mean raw eQQ diff.....    0.66496 	 	    0.55476 
med  raw eQQ diff.....    0.45889 	 	     0.3395 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.16241 	 	    0.22368 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.30361 
T-test p-value........    0.29962 	 	    0.37261 
KS Bootstrap p-value..       0.24 	 	      0.066 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.28952 
std mean diff.........     1.5224 	 	    -30.714 

mean raw eQQ diff.....   0.056243 	 	    0.13853 
med  raw eQQ diff.....   0.047727 	 	   0.090206 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.069855 	 	    0.16071 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.34768 
T-test p-value........    0.96635 	 	    0.33344 
KS Bootstrap p-value..      0.695 	 	      0.431 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	    0.16667 
std mean diff.........     11.989 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.023333 	 	          0 
med  eCDF diff........   0.023333 	 	          0 
max  eCDF diff........   0.046667 	 	          0 

var ratio (Tr/Co).....     1.3774 	 	          1 
T-test p-value........    0.72456 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.5849 
std mean diff.........    -56.405 	 	    -16.653 

mean raw eQQ diff.....     1.3865 	 	     1.2107 
med  raw eQQ diff.....     1.2586 	 	    0.30346 
max  raw eQQ diff.....     4.1458 	 	     5.0585 

mean eCDF diff........      0.147 	 	   0.083333 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     6.9376 
T-test p-value........    0.10344 	 	    0.50704 
KS Bootstrap p-value..      0.066 	 	      0.929 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     34.278 
std mean diff.........     -5.883 	 	     2.2235 

mean raw eQQ diff.....     3.4047 	 	     6.3736 
med  raw eQQ diff.....     3.4913 	 	     6.0552 
max  raw eQQ diff.....     5.8095 	 	         19 

mean eCDF diff........   0.062157 	 	    0.12255 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	    0.33333 

var ratio (Tr/Co).....    0.92454 	 	    0.67812 
T-test p-value........    0.87014 	 	    0.89342 
KS Bootstrap p-value..      0.811 	 	      0.445 
KS Naive p-value......    0.93155 	 	    0.51755 
KS Statistic..........       0.19 	 	    0.33333 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.58333 
std mean diff.........     11.005 	 	    -32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028333 	 	   0.083333 
med  eCDF diff........   0.028333 	 	   0.083333 
max  eCDF diff........   0.056667 	 	    0.16667 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	         16 
std mean diff.........     8.4442 	 	     6.8099 

mean raw eQQ diff.....     3.5833 	 	     2.6667 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          6 

mean eCDF diff........   0.061014 	 	   0.083333 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	     1.5323 
T-test p-value........     0.8048 	 	    0.56726 
KS Bootstrap p-value..       0.86 	 	      0.983 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	       0.75 
std mean diff.........     131.88 	 	     21.409 

mean raw eQQ diff.....        0.5 	 	   0.083333 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	   0.041667 
med  eCDF diff........    0.25667 	 	   0.041667 
max  eCDF diff........    0.51333 	 	   0.083333 

var ratio (Tr/Co).....    0.66845 	 	    0.74074 
T-test p-value........  0.0017432 	 	    0.31868 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.066 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	     0.4905 
std mean diff.........     79.709 	 	     17.811 

mean raw eQQ diff.....    0.28577 	 	   0.076416 
med  raw eQQ diff.....    0.27444 	 	   0.080628 
max  raw eQQ diff.....    0.66667 	 	        0.2 

mean eCDF diff........    0.28704 	 	    0.14881 
med  eCDF diff........      0.285 	 	    0.16667 
max  eCDF diff........    0.47333 	 	    0.33333 

var ratio (Tr/Co).....     1.4661 	 	    0.69918 
T-test p-value........   0.027314 	 	    0.20788 
KS Bootstrap p-value..      0.023 	 	      0.389 
KS Naive p-value......   0.052864 	 	    0.51755 
KS Statistic..........    0.47333 	 	    0.33333 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.1334 
std mean diff.........     -99.54 	 	    -56.167 

mean raw eQQ diff.....    0.89356 	 	     0.6566 
med  raw eQQ diff.....    0.60014 	 	    0.28718 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.19569 	 	   0.087963 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.80199 
T-test p-value........   0.016254 	 	    0.14077 
KS Bootstrap p-value..      0.176 	 	      0.745 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.18496 
std mean diff.........     23.726 	 	     27.817 

mean raw eQQ diff.....    0.11707 	 	    0.13418 
med  raw eQQ diff.....   0.060407 	 	   0.066871 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	    0.10256 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	       0.25 

var ratio (Tr/Co).....     2.6265 	 	     2.5913 
T-test p-value........     0.4614 	 	    0.18862 
KS Bootstrap p-value..        0.8 	 	      0.707 
KS Naive p-value......    0.97323 	 	    0.84749 
KS Statistic..........       0.17 	 	       0.25 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.50374 
std mean diff.........     30.287 	 	    -52.766 

mean raw eQQ diff.....    0.09584 	 	    0.20458 
med  raw eQQ diff.....    0.10581 	 	    0.12579 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.15908 	 	    0.16176 
med  eCDF diff........       0.12 	 	    0.16667 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	     0.3057 
T-test p-value........    0.41287 	 	    0.19916 
KS Bootstrap p-value..      0.022 	 	      0.418 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.2733 
std mean diff.........    -54.541 	 	     49.453 

mean raw eQQ diff.....    0.66496 	 	    0.55476 
med  raw eQQ diff.....    0.45889 	 	     0.3395 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.16241 	 	    0.22368 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.30361 
T-test p-value........    0.29962 	 	    0.37261 
KS Bootstrap p-value..      0.216 	 	      0.079 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.28952 
std mean diff.........     1.5224 	 	    -30.714 

mean raw eQQ diff.....   0.056243 	 	    0.13853 
med  raw eQQ diff.....   0.047727 	 	   0.090206 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.069855 	 	    0.16071 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.34768 
T-test p-value........    0.96635 	 	    0.33344 
KS Bootstrap p-value..      0.714 	 	      0.421 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.079 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4905   0.5539   0.0634           0.0508   0.1616  1.2482         
ave.log.duration.prev5          2.1334   1.5572   -0.5762          0.3994   -0.5299 -1.4430        
ave.outcome.prev5               0.1850   0.2914   0.1064           0.0819   0.3342  1.2993         
ForceUS.prop.prev10             0.5037   0.3885   -0.1153          0.0907   -0.3611 -1.2709        
ave.log.duration.prev10         2.2733   2.5238   0.2505           0.2790   0.3375  0.8977         
ave.outcome.prev10              0.2895   0.2292   -0.0603          0.0621   -0.2206 -0.9711        
---Overall Test---
      chisquare df p.value
strat      7.38  6   0.287
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     12 
$p.values
ForceUS     NPC 
  0.742   0.742 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.190214404 61.755045944  0.002670227 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.05288901 79.92537578 -0.13796296 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
21.4942276  2.1029989  0.9495798 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.9649515  1.8147033  0.1848488 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs FALSE ***


Thu Apr 23 07:27:52 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.380100e-02  9.021063e-02  9.108621e-02  9.108621e-02  9.483298e-02  9.900844e-02  9.956185e-02  1.496097e-01  1.496097e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.249812e-01  3.649205e-01  4.192776e-01  4.806641e-01  4.828076e-01  4.954861e-01  5.101618e-01  5.152764e-01  5.175508e-01  5.175508e-01  5.499801e-01  5.930375e-01  7.758472e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	8.076625e-02  9.956185e-02  9.957723e-02  1.189939e-01  1.208550e-01  1.634583e-01  1.735471e-01  1.735471e-01  1.906969e-01  2.132716e-01  2.689242e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.759529e-01  4.721415e-01  5.175508e-01  5.175508e-01  5.490687e-01  6.314159e-01  6.488694e-01  6.607592e-01  6.607592e-01  7.532762e-01  8.297528e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	8.733620e-02  8.845954e-02  9.956185e-02  1.050439e-01  1.116512e-01  1.634583e-01  1.735471e-01  1.735471e-01  1.938330e-01  2.132716e-01  2.485482e-01  2.729162e-01  2.765284e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.759388e-01  4.178854e-01  4.344291e-01  5.101572e-01  5.175508e-01  5.498391e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  8.811383e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	9.116088e-02  9.518639e-02  1.143014e-01  1.318368e-01  1.496097e-01  1.496097e-01  1.735471e-01  1.735471e-01  2.485482e-01  2.737077e-01  3.186800e-01  3.186800e-01  3.307621e-01  3.834051e-01  4.691282e-01  5.175508e-01  5.175508e-01  5.341491e-01  5.876416e-01  6.829885e-01  7.202756e-01  7.450101e-01  8.204629e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.465127e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	1.064264e-01  1.143014e-01  1.496097e-01  1.496097e-01  1.552066e-01  1.735471e-01  1.735471e-01  2.225679e-01  2.485482e-01  3.016695e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.693279e-01  4.210356e-01  5.175508e-01  5.175508e-01  5.276469e-01  5.547604e-01  6.231070e-01  6.748646e-01  7.296830e-01  7.326455e-01  7.841235e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.465127e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	1.190306e-01  1.246314e-01  1.496097e-01  1.496097e-01  1.546077e-01  1.735471e-01  1.735471e-01  2.225679e-01  2.485482e-01  3.031638e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.662162e-01  4.593721e-01  5.175508e-01  5.175508e-01  5.307030e-01  5.547604e-01  6.166248e-01  6.270576e-01  7.326455e-01  7.438174e-01  7.841235e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.495898e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      6 	1.235462e-01  1.480722e-01  1.496097e-01  1.496097e-01  1.735471e-01  1.735471e-01  2.079469e-01  2.225679e-01  2.485482e-01  2.485482e-01  2.809093e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.662011e-01  4.094115e-01  4.295864e-01  4.330908e-01  4.920251e-01  5.175508e-01  5.547604e-01  6.153965e-01  6.477836e-01  6.607592e-01  6.607592e-01  6.680625e-01  7.361589e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      9 	1.393582e-01  1.418344e-01  1.456199e-01  1.496097e-01  1.496097e-01  1.735471e-01  1.735471e-01  2.225679e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.241840e-01  3.855351e-01  4.335450e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.547604e-01  6.000253e-01  6.155795e-01  6.607592e-01  6.607592e-01  6.858637e-01  7.043123e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  8.837804e-01  9.626341e-01  9.915046e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

     17 	1.456199e-01  1.496097e-01  1.496097e-01  1.621545e-01  1.735471e-01  1.735471e-01  1.830611e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.300140e-01  3.815036e-01  4.297328e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.240866e-01  5.547604e-01  5.640717e-01  5.700023e-01  5.700023e-01  6.430841e-01  6.607592e-01  6.607592e-01  6.726853e-01  6.933301e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  8.780106e-01  9.696774e-01  9.914517e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

     19 	1.735471e-01  1.735471e-01  1.755931e-01  1.817571e-01  2.485482e-01  2.731507e-01  2.796882e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.737310e-01  4.970398e-01  5.038424e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.990777e-01  6.245795e-01  6.354290e-01  6.607592e-01  6.607592e-01  7.035387e-01  7.950429e-01  8.236545e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.193100e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.735471e-01  1.735471e-01  1.755931e-01  1.817571e-01  2.485482e-01  2.731507e-01  2.796882e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.737310e-01  4.970398e-01  5.038424e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.990777e-01  6.245795e-01  6.354290e-01  6.607592e-01  6.607592e-01  7.035387e-01  7.950429e-01  8.236545e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.193100e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.943707e+02
 X[ 2] :	2.131171e+02
 X[ 3] :	4.783464e+02
 X[ 4] :	1.410685e+02
 X[ 5] :	1.090998e+02
 X[ 6] :	4.402960e+02
 X[ 7] :	6.340616e+01
 X[ 8] :	5.936528e+02
 X[ 9] :	2.194165e+02
 X[10] :	1.060150e+02
 X[11] :	4.873748e+02
 X[12] :	4.378299e+02
 X[13] :	8.202450e+02
 X[14] :	3.225781e+01
 X[15] :	4.311710e+02
 X[16] :	3.426500e+01
 X[17] :	3.745678e+02
 X[18] :	3.204725e+02
 X[19] :	6.202011e+02
 X[20] :	1.827123e+02
 X[21] :	7.823143e+02
 X[22] :	9.763960e+02

Solution Found Generation 19
Number of Generations Run 30

Thu Apr 23 10:28:04 2015
Total run time : 3 hours 0 minutes and 12 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6     Van Buren         4          4
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Cleveland         9          6
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4       Kennedy         9          3
9  Johnson, L.        22         15         Obama         4          3
10      Carter         9          7 Roosevelt, F.        10          8
11     Clinton        24         10          Ford         4          4
12 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.58333 
std mean diff.........    -11.489 	 	    -15.957 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.041667 
med  eCDF diff........       0.03 	 	   0.041667 
max  eCDF diff........       0.06 	 	   0.083333 

var ratio (Tr/Co).....     1.0626 	 	     1.0286 
T-test p-value........     0.7444 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.33333 
std mean diff.........     26.541 	 	     16.183 

mean raw eQQ diff.....    0.16667 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068333 	 	   0.041667 
med  eCDF diff........   0.068333 	 	   0.041667 
max  eCDF diff........    0.13667 	 	   0.083333 

var ratio (Tr/Co).....     1.2626 	 	     1.0938 
T-test p-value........    0.44319 	 	    0.31868 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1913.4 
std mean diff.........    -12.966 	 	    -18.565 

mean raw eQQ diff.....         22 	 	     20.417 
med  raw eQQ diff.....         23 	 	       17.5 
max  raw eQQ diff.....         36 	 	         40 

mean eCDF diff........    0.12369 	 	   0.097222 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	       0.25 

var ratio (Tr/Co).....     2.0131 	 	     1.5644 
T-test p-value........     0.6917 	 	    0.27969 
KS Bootstrap p-value..      0.222 	 	      0.808 
KS Naive p-value......    0.26194 	 	    0.86898 
KS Statistic..........    0.33667 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.33333 
std mean diff.........    -4.5314 	 	     16.183 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.011667 	 	   0.041667 
med  eCDF diff........   0.011667 	 	   0.041667 
max  eCDF diff........   0.023333 	 	   0.083333 

var ratio (Tr/Co).....     1.0331 	 	     1.0938 
T-test p-value........    0.89801 	 	       0.57 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.9373 
std mean diff.........     -21.84 	 	    -15.827 

mean raw eQQ diff.....    0.26647 	 	    0.29455 
med  raw eQQ diff.....   0.078002 	 	    0.16916 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.073651 	 	   0.072917 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	    0.16667 

var ratio (Tr/Co).....     1.5702 	 	     1.2704 
T-test p-value........     0.5163 	 	    0.70354 
KS Bootstrap p-value..      0.621 	 	      0.981 
KS Naive p-value......    0.84107 	 	    0.99626 
KS Statistic..........    0.21667 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	          8 
std mean diff.........    0.94804 	 	    -6.2371 

mean raw eQQ diff.....     1.4167 	 	     1.4167 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          5 	 	          3 

mean eCDF diff........   0.073556 	 	   0.089286 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	     0.9978 
T-test p-value........    0.97783 	 	    0.79504 
KS Bootstrap p-value..      0.615 	 	      0.705 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	      4.987 
std mean diff.........     37.483 	 	     34.985 

mean raw eQQ diff.....     1.5996 	 	      1.655 
med  raw eQQ diff.....     1.1184 	 	     1.1184 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.16667 
med  eCDF diff........    0.13667 	 	    0.16667 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	    0.68543 
T-test p-value........     0.2972 	 	    0.47373 
KS Bootstrap p-value..      0.267 	 	      0.381 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.38566 
std mean diff.........     79.709 	 	     47.249 

mean raw eQQ diff.....    0.28577 	 	    0.16827 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	     0.1131 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	     1.3091 
T-test p-value........   0.027314 	 	    0.17559 
KS Bootstrap p-value..      0.025 	 	       0.76 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.0611 
std mean diff.........     -99.54 	 	    -49.117 

mean raw eQQ diff.....    0.89356 	 	    0.50392 
med  raw eQQ diff.....    0.60014 	 	      0.304 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	   0.095238 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.82106 
T-test p-value........   0.016254 	 	    0.27315 
KS Bootstrap p-value..      0.161 	 	      0.771 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.24623 
std mean diff.........     23.726 	 	     11.799 

mean raw eQQ diff.....    0.11707 	 	   0.084274 
med  raw eQQ diff.....   0.060407 	 	   0.013221 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.064737 	 	   0.064103 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.9587 
T-test p-value........     0.4614 	 	    0.63543 
KS Bootstrap p-value..      0.759 	 	      0.963 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35602 
std mean diff.........     30.287 	 	     14.848 

mean raw eQQ diff.....    0.09584 	 	   0.056907 
med  raw eQQ diff.....    0.10581 	 	   0.053752 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	   0.096491 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.74265 
T-test p-value........    0.41287 	 	    0.49704 
KS Bootstrap p-value..      0.015 	 	      0.467 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4202 
std mean diff.........    -54.541 	 	     20.459 

mean raw eQQ diff.....    0.66496 	 	    0.39797 
med  raw eQQ diff.....    0.45889 	 	    0.28608 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.17754 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.42254 
T-test p-value........    0.29962 	 	    0.59908 
KS Bootstrap p-value..       0.24 	 	      0.226 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.25157 
std mean diff.........     1.5224 	 	    -11.374 

mean raw eQQ diff.....   0.056243 	 	   0.065223 
med  raw eQQ diff.....   0.047727 	 	   0.063034 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.069855 	 	   0.093137 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.66464 
T-test p-value........    0.96635 	 	    0.62458 
KS Bootstrap p-value..      0.695 	 	      0.762 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	    0.16667 
std mean diff.........     11.989 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.023333 	 	          0 
med  eCDF diff........   0.023333 	 	          0 
max  eCDF diff........   0.046667 	 	          0 

var ratio (Tr/Co).....     1.3774 	 	          1 
T-test p-value........    0.72456 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -2.9937 
std mean diff.........    -56.405 	 	    -38.536 

mean raw eQQ diff.....     1.3865 	 	      1.041 
med  raw eQQ diff.....     1.2586 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........      0.147 	 	   0.091667 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	       0.25 

var ratio (Tr/Co).....     1.6244 	 	     1.6153 
T-test p-value........    0.10344 	 	    0.18176 
KS Bootstrap p-value..      0.066 	 	       0.67 
KS Naive p-value......    0.16264 	 	    0.84749 
KS Statistic..........    0.39333 	 	       0.25 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     35.343 
std mean diff.........     -5.883 	 	    -3.4328 

mean raw eQQ diff.....     3.4047 	 	     4.4169 
med  raw eQQ diff.....     3.4913 	 	     3.9493 
max  raw eQQ diff.....     5.8095 	 	     12.769 

mean eCDF diff........   0.062157 	 	   0.079365 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	    0.71539 
T-test p-value........    0.87014 	 	    0.91931 
KS Bootstrap p-value..      0.811 	 	      0.779 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.33333 
std mean diff.........     11.005 	 	     16.183 

mean raw eQQ diff.....   0.083333 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028333 	 	   0.041667 
med  eCDF diff........   0.028333 	 	   0.041667 
max  eCDF diff........   0.056667 	 	   0.083333 

var ratio (Tr/Co).....     1.1048 	 	     1.0938 
T-test p-value........    0.75343 	 	    0.66076 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	     16.333 
std mean diff.........     8.4442 	 	     4.5399 

mean raw eQQ diff.....     3.5833 	 	     2.1667 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          4 

mean eCDF diff........   0.061014 	 	   0.073529 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	     1.1164 
T-test p-value........     0.8048 	 	    0.82365 
KS Bootstrap p-value..       0.86 	 	       0.98 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	    0.58333 
std mean diff.........     131.88 	 	     64.226 

mean raw eQQ diff.....        0.5 	 	       0.25 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	      0.125 
med  eCDF diff........    0.25667 	 	      0.125 
max  eCDF diff........    0.51333 	 	       0.25 

var ratio (Tr/Co).....    0.66845 	 	    0.57143 
T-test p-value........  0.0017432 	 	    0.17355 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.36459 	 	    0.42485 
std mean diff.........     22.675 	 	     15.046 

mean raw eQQ diff.....    0.22425 	 	    0.24795 
med  raw eQQ diff.....   0.055071 	 	   0.084853 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.073333 	 	   0.083333 
med  eCDF diff........   0.071667 	 	   0.083333 
max  eCDF diff........    0.17333 	 	    0.16667 

var ratio (Tr/Co).....     11.077 	 	     8.0688 
T-test p-value........    0.45681 	 	    0.50384 
KS Bootstrap p-value..      0.877 	 	      0.984 
KS Naive p-value......    0.96791 	 	    0.99626 
KS Statistic..........    0.17333 	 	    0.16667 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........       0.53 	 	     0.5625 
std mean diff.........     41.965 	 	     31.985 

mean raw eQQ diff.....    0.16667 	 	    0.14583 
med  raw eQQ diff.....      0.125 	 	      0.125 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........       0.12 	 	    0.11667 
med  eCDF diff........    0.18333 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.16667 

var ratio (Tr/Co).....    0.61115 	 	    0.57881 
T-test p-value........    0.28612 	 	    0.31868 
KS Bootstrap p-value..      0.481 	 	      0.867 
KS Naive p-value......    0.91242 	 	    0.99626 
KS Statistic..........    0.19667 	 	    0.16667 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.17355 
Variable Name(s): DemDR  Number(s): 19 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.38566 
std mean diff.........     79.709 	 	     47.249 

mean raw eQQ diff.....    0.28577 	 	    0.16827 
med  raw eQQ diff.....    0.27444 	 	    0.13636 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	     0.1131 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	     1.3091 
T-test p-value........   0.027314 	 	    0.17559 
KS Bootstrap p-value..      0.023 	 	      0.724 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.0611 
std mean diff.........     -99.54 	 	    -49.117 

mean raw eQQ diff.....    0.89356 	 	    0.50392 
med  raw eQQ diff.....    0.60014 	 	      0.304 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	   0.095238 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	    0.82106 
T-test p-value........   0.016254 	 	    0.27315 
KS Bootstrap p-value..      0.176 	 	      0.783 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.24623 
std mean diff.........     23.726 	 	     11.799 

mean raw eQQ diff.....    0.11707 	 	   0.084274 
med  raw eQQ diff.....   0.060407 	 	   0.013221 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.064737 	 	   0.064103 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.9587 
T-test p-value........     0.4614 	 	    0.63543 
KS Bootstrap p-value..        0.8 	 	      0.966 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.35602 
std mean diff.........     30.287 	 	     14.848 

mean raw eQQ diff.....    0.09584 	 	   0.056907 
med  raw eQQ diff.....    0.10581 	 	   0.053752 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	   0.096491 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.74265 
T-test p-value........    0.41287 	 	    0.49704 
KS Bootstrap p-value..      0.022 	 	      0.461 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4202 
std mean diff.........    -54.541 	 	     20.459 

mean raw eQQ diff.....    0.66496 	 	    0.39797 
med  raw eQQ diff.....    0.45889 	 	    0.28608 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.17754 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.42254 
T-test p-value........    0.29962 	 	    0.59908 
KS Bootstrap p-value..      0.216 	 	      0.203 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.25157 
std mean diff.........     1.5224 	 	    -11.374 

mean raw eQQ diff.....   0.056243 	 	   0.065223 
med  raw eQQ diff.....   0.047727 	 	   0.063034 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.069855 	 	   0.093137 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.66464 
T-test p-value........    0.96635 	 	    0.62458 
KS Bootstrap p-value..      0.714 	 	      0.762 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.17559 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3857   0.5539   0.1683           0.1260   0.5031  1.3358         
ave.log.duration.prev5          2.0611   1.5572   -0.5039          0.4604   -0.4664 -1.0944        
ave.outcome.prev5               0.2462   0.2914   0.0451           0.0935   0.1358  0.4828         
ForceUS.prop.prev10             0.3560   0.3885   0.0324           0.0471   0.1371  0.6884         
ave.log.duration.prev10         2.4202   2.5238   0.1036           0.1938   0.1577  0.5348         
ave.outcome.prev10              0.2516   0.2292   -0.0223          0.0448   -0.1016 -0.4982        
---Overall Test---
      chisquare df p.value
strat      4.64  6   0.591
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     48 
$p.values
ForceUS     NPC 
  0.163   0.163 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.20298260 86.08675583  0.03018109 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2009891 90.5833544  0.1337121 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 19.283347   2.814640   3.215765 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9694267  2.1649474  0.9138406 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs TRUE ***


Thu Apr 23 11:35:37 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.322097e-02  9.956185e-02  1.069567e-01  1.097563e-01  1.122238e-01  1.652439e-01  1.655815e-01  1.890319e-01  2.485482e-01  2.485482e-01  2.485482e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  4.351657e-01  4.875317e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.925678e-01  6.074364e-01  6.567843e-01  8.123772e-01  8.401607e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.786489e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	9.956185e-02  1.144054e-01  1.298265e-01  1.375976e-01  1.710444e-01  1.735839e-01  1.748305e-01  2.026025e-01  2.485482e-01  2.485482e-01  3.064298e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  5.119227e-01  5.175508e-01  5.175508e-01  5.175508e-01  6.456009e-01  6.607592e-01  6.607592e-01  6.795353e-01  7.493073e-01  8.235637e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.768220e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	9.956185e-02  1.184130e-01  1.190138e-01  1.204548e-01  1.378584e-01  1.693020e-01  1.866683e-01  1.929667e-01  2.485482e-01  2.691678e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.288489e-01  3.594908e-01  3.853101e-01  4.525876e-01  4.652420e-01  5.175508e-01  5.175508e-01  5.846971e-01  6.128525e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.956185e-02  1.184130e-01  1.190138e-01  1.204548e-01  1.378584e-01  1.693020e-01  1.866683e-01  1.929667e-01  2.485482e-01  2.691678e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.288489e-01  3.594908e-01  3.853101e-01  4.525876e-01  4.652420e-01  5.175508e-01  5.175508e-01  5.846971e-01  6.128525e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.258518e+02
 X[ 2] :	9.902723e+02
 X[ 3] :	3.296073e+02
 X[ 4] :	6.461251e+02
 X[ 5] :	4.702249e+02
 X[ 6] :	2.517189e+02
 X[ 7] :	2.158039e+02
 X[ 8] :	5.142008e+02
 X[ 9] :	6.789460e+02
 X[10] :	2.862752e+02
 X[11] :	1.393123e+02
 X[12] :	2.087328e+01
 X[13] :	2.638391e+02
 X[14] :	3.538255e+02
 X[15] :	6.159886e+02
 X[16] :	7.769452e+02
 X[17] :	3.752595e+01
 X[18] :	2.824580e+02
 X[19] :	3.222059e+02
 X[20] :	8.680887e+01
 X[21] :	6.381470e+02
 X[22] :	3.464582e+02

Solution Found Generation 5
Number of Generations Run 16

Thu Apr 23 12:05:20 2015
Total run time : 0 hours 29 minutes and 43 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Hoover         1          0
2       Monroe         6          6   Adams, J. Q.         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5      Cleveland         9          6
7       Wilson        15         13  Roosevelt, F.        10          8
8       Truman         6          4          Nixon        12          9
9  Johnson, L.        22         15        Kennedy         9          3
10      Carter         9          7           Ford         4          4
11     Clinton        24         10          Obama         4          3
12 Bush, G. W.        24         20 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.58333 
std mean diff.........    -11.489 	 	    -15.957 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.041667 
med  eCDF diff........       0.03 	 	   0.041667 
max  eCDF diff........       0.06 	 	   0.083333 

var ratio (Tr/Co).....     1.0626 	 	     1.0286 
T-test p-value........     0.7444 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1916.1 
std mean diff.........    -12.966 	 	     -22.21 

mean raw eQQ diff.....         22 	 	     17.417 
med  raw eQQ diff.....         23 	 	         12 
max  raw eQQ diff.....         36 	 	         64 

mean eCDF diff........    0.12369 	 	   0.068841 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	    0.16667 

var ratio (Tr/Co).....     2.0131 	 	     1.1805 
T-test p-value........     0.6917 	 	    0.12045 
KS Bootstrap p-value..      0.222 	 	       0.99 
KS Naive p-value......    0.26194 	 	    0.99626 
KS Statistic..........    0.33667 	 	    0.16667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     2.0216 
std mean diff.........     -21.84 	 	    -22.402 

mean raw eQQ diff.....    0.26647 	 	    0.37885 
med  raw eQQ diff.....   0.078002 	 	    0.16916 
max  raw eQQ diff.....     1.0986 	 	      1.204 

mean eCDF diff........   0.073651 	 	   0.088889 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     1.2864 
T-test p-value........     0.5163 	 	    0.45259 
KS Bootstrap p-value..      0.621 	 	      0.708 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     9.4167 
std mean diff.........    0.94804 	 	    -27.443 

mean raw eQQ diff.....     1.4167 	 	        2.5 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          5 	 	          9 

mean eCDF diff........   0.073556 	 	      0.125 
med  eCDF diff........   0.046667 	 	      0.125 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	    0.83643 
T-test p-value........    0.97783 	 	     0.1693 
KS Bootstrap p-value..      0.615 	 	      0.742 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     4.7436 
std mean diff.........     37.483 	 	     45.107 

mean raw eQQ diff.....     1.5996 	 	     1.8985 
med  raw eQQ diff.....     1.1184 	 	     1.2991 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.16071 
med  eCDF diff........    0.13667 	 	      0.125 
max  eCDF diff........        0.3 	 	    0.41667 

var ratio (Tr/Co).....     1.0044 	 	    0.74387 
T-test p-value........     0.2972 	 	    0.26917 
KS Bootstrap p-value..      0.267 	 	      0.159 
KS Naive p-value......     0.4589 	 	    0.24855 
KS Statistic..........        0.3 	 	    0.41667 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.44399 
std mean diff.........     79.709 	 	      30.87 

mean raw eQQ diff.....    0.28577 	 	    0.10993 
med  raw eQQ diff.....    0.27444 	 	   0.079198 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........    0.28704 	 	   0.077381 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.16667 

var ratio (Tr/Co).....     1.4661 	 	     1.0943 
T-test p-value........   0.027314 	 	    0.11901 
KS Bootstrap p-value..      0.025 	 	      0.978 
KS Naive p-value......   0.052864 	 	    0.99626 
KS Statistic..........    0.47333 	 	    0.16667 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.0911 
std mean diff.........     -99.54 	 	    -52.044 

mean raw eQQ diff.....    0.89356 	 	     0.5506 
med  raw eQQ diff.....    0.60014 	 	    0.24816 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.10317 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	      1.285 
T-test p-value........   0.016254 	 	    0.11841 
KS Bootstrap p-value..      0.161 	 	      0.794 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.21012 
std mean diff.........     23.726 	 	     21.239 

mean raw eQQ diff.....    0.11707 	 	   0.092607 
med  raw eQQ diff.....   0.060407 	 	  0.0096491 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.051282 
med  eCDF diff........   0.053333 	 	          0 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     2.6029 
T-test p-value........     0.4614 	 	    0.18667 
KS Bootstrap p-value..      0.759 	 	      0.965 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	     0.4175 
std mean diff.........     30.287 	 	    -13.292 

mean raw eQQ diff.....    0.09584 	 	   0.094304 
med  raw eQQ diff.....    0.10581 	 	   0.053746 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.50098 
T-test p-value........    0.41287 	 	    0.61285 
KS Bootstrap p-value..      0.015 	 	      0.467 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.3544 
std mean diff.........    -54.541 	 	     33.449 

mean raw eQQ diff.....    0.66496 	 	    0.46376 
med  raw eQQ diff.....    0.45889 	 	    0.28608 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.20076 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.37413 
T-test p-value........    0.29962 	 	    0.46524 
KS Bootstrap p-value..       0.24 	 	      0.075 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.26139 
std mean diff.........     1.5224 	 	    -16.379 

mean raw eQQ diff.....   0.056243 	 	   0.079361 
med  raw eQQ diff.....   0.047727 	 	    0.06342 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.11275 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.50633 
T-test p-value........    0.96635 	 	    0.35949 
KS Bootstrap p-value..      0.695 	 	      0.782 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	    0.16667 
std mean diff.........     11.989 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.023333 	 	          0 
med  eCDF diff........   0.023333 	 	          0 
max  eCDF diff........   0.046667 	 	          0 

var ratio (Tr/Co).....     1.3774 	 	          1 
T-test p-value........    0.72456 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.1569 
std mean diff.........    -56.405 	 	    -32.498 

mean raw eQQ diff.....     1.3865 	 	      1.049 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     5.0585 

mean eCDF diff........      0.147 	 	   0.091667 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     2.7802 
T-test p-value........    0.10344 	 	    0.13786 
KS Bootstrap p-value..      0.066 	 	      0.931 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     36.216 
std mean diff.........     -5.883 	 	     -8.075 

mean raw eQQ diff.....     3.4047 	 	     4.1475 
med  raw eQQ diff.....     3.4913 	 	     3.9148 
max  raw eQQ diff.....     5.8095 	 	     12.769 

mean eCDF diff........   0.062157 	 	   0.083333 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	     0.6908 
T-test p-value........    0.87014 	 	     0.5847 
KS Bootstrap p-value..      0.811 	 	      0.786 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.41667 
std mean diff.........     11.005 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028333 	 	          0 
med  eCDF diff........   0.028333 	 	          0 
max  eCDF diff........   0.056667 	 	          0 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	      19.75 
std mean diff.........     8.4442 	 	    -18.727 

mean raw eQQ diff.....     3.5833 	 	       3.75 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	         16 

mean eCDF diff........   0.061014 	 	   0.073529 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	    0.75296 
T-test p-value........     0.8048 	 	    0.38531 
KS Bootstrap p-value..       0.86 	 	      0.978 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	    0.66667 
std mean diff.........     131.88 	 	     42.817 

mean raw eQQ diff.....        0.5 	 	    0.16667 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	   0.083333 
med  eCDF diff........    0.25667 	 	   0.083333 
max  eCDF diff........    0.51333 	 	    0.16667 

var ratio (Tr/Co).....    0.66845 	 	      0.625 
T-test p-value........  0.0017432 	 	    0.31868 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.36459 	 	    0.36843 
std mean diff.........     22.675 	 	     22.189 

mean raw eQQ diff.....    0.22425 	 	    0.23261 
med  raw eQQ diff.....   0.055071 	 	   0.061378 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.073333 	 	   0.075758 
med  eCDF diff........   0.071667 	 	   0.083333 
max  eCDF diff........    0.17333 	 	       0.25 

var ratio (Tr/Co).....     11.077 	 	     9.8896 
T-test p-value........    0.45681 	 	    0.32885 
KS Bootstrap p-value..      0.877 	 	      0.795 
KS Naive p-value......    0.96791 	 	    0.84749 
KS Statistic..........    0.17333 	 	       0.25 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........       0.53 	 	     0.4375 
std mean diff.........     41.965 	 	     70.368 

mean raw eQQ diff.....    0.16667 	 	    0.22917 
med  raw eQQ diff.....      0.125 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........       0.12 	 	    0.18333 
med  eCDF diff........    0.18333 	 	       0.25 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.61115 	 	    0.51494 
T-test p-value........    0.28612 	 	    0.19297 
KS Bootstrap p-value..      0.481 	 	      0.293 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.075 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.44399 
std mean diff.........     79.709 	 	      30.87 

mean raw eQQ diff.....    0.28577 	 	    0.10993 
med  raw eQQ diff.....    0.27444 	 	   0.079198 
max  raw eQQ diff.....    0.66667 	 	    0.33333 

mean eCDF diff........    0.28704 	 	   0.077381 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.16667 

var ratio (Tr/Co).....     1.4661 	 	     1.0943 
T-test p-value........   0.027314 	 	    0.11901 
KS Bootstrap p-value..      0.023 	 	      0.976 
KS Naive p-value......   0.052864 	 	    0.99626 
KS Statistic..........    0.47333 	 	    0.16667 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.0911 
std mean diff.........     -99.54 	 	    -52.044 

mean raw eQQ diff.....    0.89356 	 	     0.5506 
med  raw eQQ diff.....    0.60014 	 	    0.24816 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.10317 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	      1.285 
T-test p-value........   0.016254 	 	    0.11841 
KS Bootstrap p-value..      0.176 	 	       0.77 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.21012 
std mean diff.........     23.726 	 	     21.239 

mean raw eQQ diff.....    0.11707 	 	   0.092607 
med  raw eQQ diff.....   0.060407 	 	  0.0096491 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.051282 
med  eCDF diff........   0.053333 	 	          0 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     2.6029 
T-test p-value........     0.4614 	 	    0.18667 
KS Bootstrap p-value..        0.8 	 	      0.956 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	     0.4175 
std mean diff.........     30.287 	 	    -13.292 

mean raw eQQ diff.....    0.09584 	 	   0.094304 
med  raw eQQ diff.....    0.10581 	 	   0.053746 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.10417 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	    0.33333 

var ratio (Tr/Co).....    0.82072 	 	    0.50098 
T-test p-value........    0.41287 	 	    0.61285 
KS Bootstrap p-value..      0.022 	 	       0.43 
KS Naive p-value......   0.050218 	 	    0.51755 
KS Statistic..........    0.47667 	 	    0.33333 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.3544 
std mean diff.........    -54.541 	 	     33.449 

mean raw eQQ diff.....    0.66496 	 	    0.46376 
med  raw eQQ diff.....    0.45889 	 	    0.28608 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.20076 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.21619 	 	    0.37413 
T-test p-value........    0.29962 	 	    0.46524 
KS Bootstrap p-value..      0.216 	 	      0.072 
KS Naive p-value......    0.37747 	 	   0.099562 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.26139 
std mean diff.........     1.5224 	 	    -16.379 

mean raw eQQ diff.....   0.056243 	 	   0.079361 
med  raw eQQ diff.....   0.047727 	 	    0.06342 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.11275 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.90756 	 	    0.50633 
T-test p-value........    0.96635 	 	    0.35949 
KS Bootstrap p-value..      0.714 	 	      0.759 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.072 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4440   0.5539   0.1099           0.0724   0.3156  1.5193         
ave.log.duration.prev5          2.0911   1.5572   -0.5339          0.3509   -0.5519 -1.5216        
ave.outcome.prev5               0.2101   0.2914   0.0812           0.0623   0.2553  1.3046         
ForceUS.prop.prev10             0.4175   0.3885   -0.0290          0.0564   -0.1086 -0.5150        
ave.log.duration.prev10         2.3544   2.5238   0.1694           0.2292   0.2468  0.7391         
ave.outcome.prev10              0.2614   0.2292   -0.0321          0.0349   -0.1343 -0.9218        
---Overall Test---
      chisquare df p.value
strat      5.33  6   0.502
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     50 
$p.values
ForceUS     NPC 
  0.123   0.123 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.12276215 83.18779686  0.04140787 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07483165 90.64816919  0.06773990 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 11.539642   2.151424   4.178541 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.0481478  2.0303904  0.9149536 

Closed Testing
Intersection 1 of 7 

*** primary full.covs FALSE ***


Thu Apr 23 13:12:39 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.152008e-02  9.956185e-02  1.070630e-01  1.182476e-01  1.225434e-01  1.385179e-01  1.634583e-01  1.735471e-01  1.735471e-01  1.906969e-01  2.132716e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.727289e-01  3.990186e-01  4.649248e-01  5.175508e-01  5.175508e-01  5.532977e-01  6.314159e-01  6.607592e-01  6.607592e-01  6.899667e-01  7.660762e-01  8.387309e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	9.961479e-02  1.004448e-01  1.045873e-01  1.230517e-01  1.496097e-01  1.496097e-01  1.735471e-01  1.735471e-01  1.772430e-01  2.485482e-01  2.737077e-01  3.186800e-01  3.186800e-01  3.241909e-01  4.192776e-01  4.554751e-01  4.555126e-01  5.175508e-01  5.175508e-01  5.960764e-01  6.637961e-01  6.787379e-01  7.218883e-01  8.457441e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.498657e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.961479e-02  1.004448e-01  1.045873e-01  1.230517e-01  1.496097e-01  1.496097e-01  1.735471e-01  1.735471e-01  1.772430e-01  2.485482e-01  2.737077e-01  3.186800e-01  3.186800e-01  3.241909e-01  4.192776e-01  4.554751e-01  4.555126e-01  5.175508e-01  5.175508e-01  5.960764e-01  6.637961e-01  6.787379e-01  7.218883e-01  8.457441e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.689817e-01  9.498657e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.096415e+02
 X[ 2] :	3.522435e+02
 X[ 3] :	4.751651e+02
 X[ 4] :	6.150652e+02
 X[ 5] :	5.128496e+02
 X[ 6] :	9.717606e+02
 X[ 7] :	8.354880e+02
 X[ 8] :	8.644136e+02
 X[ 9] :	5.523228e+02
 X[10] :	8.624793e+02
 X[11] :	9.042795e+02
 X[12] :	9.710799e+02
 X[13] :	8.367837e+02
 X[14] :	3.700341e+02
 X[15] :	2.076596e+02
 X[16] :	1.501544e+02
 X[17] :	5.041638e+02
 X[18] :	7.255804e+02
 X[19] :	5.101810e+02
 X[20] :	3.407654e+02
 X[21] :	6.813894e+02
 X[22] :	7.616527e+02
 X[23] :	1.753804e+02
 X[24] :	6.308115e+02

Solution Found Generation 1
Number of Generations Run 12

Thu Apr 23 13:36:31 2015
Total run time : 0 hours 23 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10        Reagan        33         24
12 Bush, G. W.        24         20         Nixon        12          9

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.66667 
std mean diff.........    -11.489 	 	    -31.914 

mean raw eQQ diff.....          0 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.083333 
med  eCDF diff........       0.03 	 	   0.083333 
max  eCDF diff........       0.06 	 	    0.16667 

var ratio (Tr/Co).....     1.0626 	 	      1.125 
T-test p-value........     0.7444 	 	    0.14961 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	     1921.8 
std mean diff.........    -12.966 	 	    -29.955 

mean raw eQQ diff.....         22 	 	     24.417 
med  raw eQQ diff.....         23 	 	         18 
max  raw eQQ diff.....         36 	 	         64 

mean eCDF diff........    0.12369 	 	   0.097222 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	       0.25 

var ratio (Tr/Co).....     2.0131 	 	     1.4603 
T-test p-value........     0.6917 	 	    0.10459 
KS Bootstrap p-value..      0.222 	 	      0.815 
KS Naive p-value......    0.26194 	 	    0.86898 
KS Statistic..........    0.33667 	 	       0.25 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	    0.41667 
std mean diff.........    -4.5314 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.011667 	 	          0 
med  eCDF diff........   0.011667 	 	          0 
max  eCDF diff........   0.023333 	 	          0 

var ratio (Tr/Co).....     1.0331 	 	          1 
T-test p-value........    0.89801 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.8843 
std mean diff.........     -21.84 	 	    -11.693 

mean raw eQQ diff.....    0.26647 	 	    0.29462 
med  raw eQQ diff.....   0.078002 	 	    0.23723 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.073651 	 	   0.066667 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	    0.16667 

var ratio (Tr/Co).....     1.5702 	 	     1.3429 
T-test p-value........     0.5163 	 	    0.72189 
KS Bootstrap p-value..      0.621 	 	      0.975 
KS Naive p-value......    0.84107 	 	    0.99626 
KS Statistic..........    0.21667 	 	    0.16667 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     8.8333 
std mean diff.........    0.94804 	 	    -18.711 

mean raw eQQ diff.....     1.4167 	 	     1.9167 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          5 	 	          4 

mean eCDF diff........   0.073556 	 	    0.11111 
med  eCDF diff........   0.046667 	 	   0.083333 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	      1.015 
T-test p-value........    0.97783 	 	    0.17724 
KS Bootstrap p-value..      0.615 	 	      0.752 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	      5.366 
std mean diff.........     37.483 	 	     19.228 

mean raw eQQ diff.....     1.5996 	 	     1.2761 
med  raw eQQ diff.....     1.1184 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.11667 
med  eCDF diff........    0.13667 	 	   0.083333 
max  eCDF diff........        0.3 	 	       0.25 

var ratio (Tr/Co).....     1.0044 	 	    0.65023 
T-test p-value........     0.2972 	 	    0.59608 
KS Bootstrap p-value..      0.267 	 	      0.702 
KS Naive p-value......     0.4589 	 	    0.84749 
KS Statistic..........        0.3 	 	       0.25 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.39848 
std mean diff.........     79.709 	 	     43.649 

mean raw eQQ diff.....    0.28577 	 	    0.15545 
med  raw eQQ diff.....    0.27444 	 	    0.12284 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.10556 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	     1.4401 
T-test p-value........   0.027314 	 	    0.10044 
KS Bootstrap p-value..      0.025 	 	       0.74 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.2424 
std mean diff.........     -99.54 	 	    -66.792 

mean raw eQQ diff.....    0.89356 	 	    0.68525 
med  raw eQQ diff.....    0.60014 	 	    0.50106 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.14015 
med  eCDF diff........      0.195 	 	    0.16667 
max  eCDF diff........    0.35333 	 	    0.33333 

var ratio (Tr/Co).....    0.58792 	 	     1.2223 
T-test p-value........   0.016254 	 	   0.099615 
KS Bootstrap p-value..      0.161 	 	      0.452 
KS Naive p-value......    0.26351 	 	    0.51755 
KS Statistic..........    0.35333 	 	    0.33333 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.21204 
std mean diff.........     23.726 	 	     20.736 

mean raw eQQ diff.....    0.11707 	 	   0.090684 
med  raw eQQ diff.....   0.060407 	 	   0.060407 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.064737 	 	   0.077381 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.7794 
T-test p-value........     0.4614 	 	    0.12305 
KS Bootstrap p-value..      0.759 	 	      0.967 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.37097 
std mean diff.........     30.287 	 	      8.007 

mean raw eQQ diff.....    0.09584 	 	   0.042686 
med  raw eQQ diff.....    0.10581 	 	   0.037821 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	   0.070833 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	    0.80331 
T-test p-value........    0.41287 	 	     0.6638 
KS Bootstrap p-value..      0.015 	 	      0.784 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4377 
std mean diff.........    -54.541 	 	     16.993 

mean raw eQQ diff.....    0.66496 	 	    0.38041 
med  raw eQQ diff.....    0.45889 	 	    0.28418 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.17754 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	     0.4305 
T-test p-value........    0.29962 	 	    0.67874 
KS Bootstrap p-value..       0.24 	 	      0.192 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22711 
std mean diff.........     1.5224 	 	     1.0869 

mean raw eQQ diff.....   0.056243 	 	   0.077927 
med  raw eQQ diff.....   0.047727 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.069855 	 	    0.11574 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.59064 
T-test p-value........    0.96635 	 	    0.94987 
KS Bootstrap p-value..      0.695 	 	      0.436 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	    0.16667 
std mean diff.........     11.989 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.023333 	 	          0 
med  eCDF diff........   0.023333 	 	          0 
max  eCDF diff........   0.046667 	 	          0 

var ratio (Tr/Co).....     1.3774 	 	          1 
T-test p-value........    0.72456 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.3464 
std mean diff.........    -56.405 	 	     -25.48 

mean raw eQQ diff.....     1.3865 	 	    0.87379 
med  raw eQQ diff.....     1.2586 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........      0.147 	 	   0.083333 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     2.2918 
T-test p-value........    0.10344 	 	    0.41928 
KS Bootstrap p-value..      0.066 	 	      0.935 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     37.581 
std mean diff.........     -5.883 	 	    -15.327 

mean raw eQQ diff.....     3.4047 	 	     5.3454 
med  raw eQQ diff.....     3.4913 	 	     3.9493 
max  raw eQQ diff.....     5.8095 	 	         19 

mean eCDF diff........   0.062157 	 	   0.087302 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	       0.25 

var ratio (Tr/Co).....    0.92454 	 	     0.6564 
T-test p-value........    0.87014 	 	    0.45551 
KS Bootstrap p-value..      0.811 	 	      0.795 
KS Naive p-value......    0.93155 	 	    0.84749 
KS Statistic..........       0.19 	 	       0.25 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.41667 
std mean diff.........     11.005 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028333 	 	          0 
med  eCDF diff........   0.028333 	 	          0 
max  eCDF diff........   0.056667 	 	          0 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	     17.583 
std mean diff.........     8.4442 	 	    -3.9724 

mean raw eQQ diff.....     3.5833 	 	     2.4167 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.061014 	 	   0.055556 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	     1.1399 
T-test p-value........     0.8048 	 	    0.84574 
KS Bootstrap p-value..       0.86 	 	      0.986 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	    0.58333 
std mean diff.........     131.88 	 	     64.226 

mean raw eQQ diff.....        0.5 	 	       0.25 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	      0.125 
med  eCDF diff........    0.25667 	 	      0.125 
max  eCDF diff........    0.51333 	 	       0.25 

var ratio (Tr/Co).....    0.66845 	 	    0.57143 
T-test p-value........  0.0017432 	 	    0.17355 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.36459 	 	    0.36722 
std mean diff.........     22.675 	 	     22.343 

mean raw eQQ diff.....    0.22425 	 	    0.23383 
med  raw eQQ diff.....   0.055071 	 	   0.061378 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.073333 	 	   0.076087 
med  eCDF diff........   0.071667 	 	   0.083333 
max  eCDF diff........    0.17333 	 	       0.25 

var ratio (Tr/Co).....     11.077 	 	     9.9047 
T-test p-value........    0.45681 	 	    0.32419 
KS Bootstrap p-value..      0.877 	 	      0.797 
KS Naive p-value......    0.96791 	 	    0.84749 
KS Statistic..........    0.17333 	 	       0.25 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........       0.53 	 	    0.52083 
std mean diff.........     41.965 	 	      44.78 

mean raw eQQ diff.....    0.16667 	 	     0.1875 
med  raw eQQ diff.....      0.125 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........       0.12 	 	       0.15 
med  eCDF diff........    0.18333 	 	    0.16667 
max  eCDF diff........    0.19667 	 	       0.25 

var ratio (Tr/Co).....    0.61115 	 	    0.50564 
T-test p-value........    0.28612 	 	    0.27371 
KS Bootstrap p-value..      0.481 	 	      0.566 
KS Naive p-value......    0.91242 	 	    0.84749 
KS Statistic..........    0.19667 	 	       0.25 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.36 	 	        0.5 
std mean diff.........     26.808 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.07 	 	          0 
med  eCDF diff........       0.07 	 	          0 
max  eCDF diff........       0.14 	 	          0 

var ratio (Tr/Co).....     1.1364 	 	          1 
T-test p-value........    0.44505 	 	          1 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     9.9167 	 	     9.9167 
mean control..........       7.08 	 	        8.5 
std mean diff.........     31.698 	 	     15.831 

mean raw eQQ diff.....       4.25 	 	       3.75 
med  raw eQQ diff.....          2 	 	        1.5 
max  raw eQQ diff.....         14 	 	         12 

mean eCDF diff........    0.11021 	 	   0.090278 
med  eCDF diff........    0.10333 	 	   0.083333 
max  eCDF diff........    0.25333 	 	       0.25 

var ratio (Tr/Co).....     1.3367 	 	     1.1081 
T-test p-value........    0.35795 	 	    0.45548 
KS Bootstrap p-value..      0.431 	 	      0.715 
KS Naive p-value......    0.67545 	 	    0.84749 
KS Statistic..........    0.25333 	 	       0.25 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.099615 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.39848 
std mean diff.........     79.709 	 	     43.649 

mean raw eQQ diff.....    0.28577 	 	    0.15545 
med  raw eQQ diff.....    0.27444 	 	    0.12284 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.28704 	 	    0.10556 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	       0.25 

var ratio (Tr/Co).....     1.4661 	 	     1.4401 
T-test p-value........   0.027314 	 	    0.10044 
KS Bootstrap p-value..      0.023 	 	      0.729 
KS Naive p-value......   0.052864 	 	    0.84749 
KS Statistic..........    0.47333 	 	       0.25 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	     2.2424 
std mean diff.........     -99.54 	 	    -66.792 

mean raw eQQ diff.....    0.89356 	 	    0.68525 
med  raw eQQ diff.....    0.60014 	 	    0.50106 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	    0.14015 
med  eCDF diff........      0.195 	 	    0.16667 
max  eCDF diff........    0.35333 	 	    0.33333 

var ratio (Tr/Co).....    0.58792 	 	     1.2223 
T-test p-value........   0.016254 	 	   0.099615 
KS Bootstrap p-value..      0.176 	 	       0.46 
KS Naive p-value......    0.26351 	 	    0.51755 
KS Statistic..........    0.35333 	 	    0.33333 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.21204 
std mean diff.........     23.726 	 	     20.736 

mean raw eQQ diff.....    0.11707 	 	   0.090684 
med  raw eQQ diff.....   0.060407 	 	   0.060407 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.064737 	 	   0.077381 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.7794 
T-test p-value........     0.4614 	 	    0.12305 
KS Bootstrap p-value..        0.8 	 	      0.943 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.37097 
std mean diff.........     30.287 	 	      8.007 

mean raw eQQ diff.....    0.09584 	 	   0.042686 
med  raw eQQ diff.....    0.10581 	 	   0.037821 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15908 	 	   0.070833 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	    0.80331 
T-test p-value........    0.41287 	 	     0.6638 
KS Bootstrap p-value..      0.022 	 	      0.755 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.4377 
std mean diff.........    -54.541 	 	     16.993 

mean raw eQQ diff.....    0.66496 	 	    0.38041 
med  raw eQQ diff.....    0.45889 	 	    0.28418 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.17754 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	     0.4305 
T-test p-value........    0.29962 	 	    0.67874 
KS Bootstrap p-value..      0.216 	 	      0.209 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.22711 
std mean diff.........     1.5224 	 	     1.0869 

mean raw eQQ diff.....   0.056243 	 	   0.077927 
med  raw eQQ diff.....   0.047727 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.069855 	 	    0.11574 
med  eCDF diff........       0.06 	 	   0.083333 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.59064 
T-test p-value........    0.96635 	 	    0.94987 
KS Bootstrap p-value..      0.714 	 	      0.423 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.099615 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.39848  0.55393  0.15545          0.09761  0.47423  1.59250          
ave.log.duration.prev5         2.24241  1.55715  -0.68525         0.42936  -0.70053 -1.59598         
ave.outcome.prev5              0.21204  0.29136  0.07932          0.05272  0.23464  1.50448          
ForceUS.prop.prev10            0.37097  0.38846  0.01749          0.03949  0.07558  0.44298          
ave.log.duration.prev10        2.43773  2.52381  0.08608          0.20386  0.13184  0.42224          
ave.outcome.prev10             0.22711  0.22924  0.00213          0.03317  0.00937  0.06431          
---Overall Test---
      chisquare df p.value
strat      4.91  6   0.555
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.494   0.494 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19607843 87.38515406  0.02521008 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1782618 88.2550715  0.1236111 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 21.666667   2.283948   3.286415 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.0644815  2.6052242  0.8996552 

Closed Testing
Intersection 1 of 7 

*** primary full.covs TRUE ***


Thu Apr 23 14:47:08 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.956185e-02  1.407727e-01  1.767431e-01  1.886234e-01  1.991622e-01  2.078761e-01  2.419017e-01  2.485482e-01  2.854278e-01  3.162207e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.334381e-01  3.726134e-01  4.452902e-01  5.070380e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.672630e-01  7.283968e-01  7.340807e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.934152e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	9.956185e-02  1.422317e-01  1.727788e-01  1.859188e-01  2.044168e-01  2.269205e-01  2.419017e-01  2.485482e-01  2.485482e-01  2.612658e-01  2.952045e-01  3.104086e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.937774e-01  4.248261e-01  5.049842e-01  5.070380e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  7.783466e-01  7.812295e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.701241e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	1.062918e-01  1.140455e-01  1.251286e-01  1.496097e-01  1.496097e-01  2.259145e-01  2.375608e-01  2.485482e-01  2.634116e-01  2.880939e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.193219e-01  3.403334e-01  3.687324e-01  4.062365e-01  4.155412e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.709461e-01  6.082604e-01  6.435046e-01  6.607592e-01  6.607592e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.248820e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	1.403415e-01  1.496097e-01  1.496097e-01  1.596987e-01  1.750279e-01  2.087374e-01  2.485482e-01  2.485482e-01  2.599027e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.420747e-01  3.764385e-01  4.338395e-01  5.175508e-01  5.175508e-01  5.348858e-01  5.897580e-01  6.467075e-01  6.607592e-01  6.607592e-01  7.374524e-01  8.128100e-01  8.438634e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  9.190733e-01  9.332581e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	1.577265e-01  2.089872e-01  2.450747e-01  2.485482e-01  2.736646e-01  3.183829e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.216196e-01  3.347600e-01  3.848465e-01  3.862111e-01  4.428255e-01  4.435857e-01  4.657792e-01  4.975200e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.503305e-01  8.097779e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.738373e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.577265e-01  2.089872e-01  2.450747e-01  2.485482e-01  2.736646e-01  3.183829e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.186800e-01  3.216196e-01  3.347600e-01  3.848465e-01  3.862111e-01  4.428255e-01  4.435857e-01  4.657792e-01  4.975200e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.175508e-01  5.700023e-01  5.700023e-01  5.700023e-01  5.700023e-01  7.503305e-01  8.097779e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.474885e-01  8.738373e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  9.962552e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	2.329870e+02
 X[ 2] :	5.435515e+02
 X[ 3] :	5.301052e+02
 X[ 4] :	1.564500e+02
 X[ 5] :	9.623686e+02
 X[ 6] :	1.860202e+02
 X[ 7] :	4.621896e+02
 X[ 8] :	7.089846e+02
 X[ 9] :	4.559860e+02
 X[10] :	8.311691e+02
 X[11] :	4.881896e+01
 X[12] :	1.068755e+02
 X[13] :	5.927734e+01
 X[14] :	1.457068e+02
 X[15] :	4.755803e+02
 X[16] :	6.834039e+02
 X[17] :	2.942186e+02
 X[18] :	6.068430e+02
 X[19] :	2.595352e+02
 X[20] :	1.624277e+02
 X[21] :	3.123518e+02
 X[22] :	4.247790e+02
 X[23] :	4.922541e+02
 X[24] :	5.029929e+02

Solution Found Generation 7
Number of Generations Run 18

Thu Apr 23 15:22:49 2015
Total run time : 0 hours 35 minutes and 41 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Nixon        12          9
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7       Kennedy         9          3
11     Clinton        24         10         Obama         4          3
12 Bush, G. W.        24         20        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.56 	 	    0.58333 
std mean diff.........    -11.489 	 	    -15.957 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	   0.041667 
med  eCDF diff........       0.03 	 	   0.041667 
max  eCDF diff........       0.06 	 	   0.083333 

var ratio (Tr/Co).....     1.0626 	 	     1.0286 
T-test p-value........     0.7444 	 	    0.31868 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.28 	 	    0.41667 
std mean diff.........     26.541 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068333 	 	          0 
med  eCDF diff........   0.068333 	 	          0 
max  eCDF diff........    0.13667 	 	          0 

var ratio (Tr/Co).....     1.2626 	 	          1 
T-test p-value........    0.44319 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1899.8 	 	     1899.8 
mean control..........     1909.3 	 	       1907 
std mean diff.........    -12.966 	 	    -9.7953 

mean raw eQQ diff.....         22 	 	     12.167 
med  raw eQQ diff.....         23 	 	         10 
max  raw eQQ diff.....         36 	 	         36 

mean eCDF diff........    0.12369 	 	   0.051587 
med  eCDF diff........        0.1 	 	   0.083333 
max  eCDF diff........    0.33667 	 	    0.16667 

var ratio (Tr/Co).....     2.0131 	 	     1.0937 
T-test p-value........     0.6917 	 	    0.38621 
KS Bootstrap p-value..      0.222 	 	      0.986 
KS Naive p-value......    0.26194 	 	    0.99626 
KS Statistic..........    0.33667 	 	    0.16667 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.44 	 	        0.5 
std mean diff.........    -4.5314 	 	    -16.183 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.011667 	 	   0.041667 
med  eCDF diff........   0.011667 	 	   0.041667 
max  eCDF diff........   0.023333 	 	   0.083333 

var ratio (Tr/Co).....     1.0331 	 	    0.97222 
T-test p-value........    0.89801 	 	       0.57 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.7344 	 	     1.7344 
mean control..........     2.0144 	 	     1.9485 
std mean diff.........     -21.84 	 	    -16.701 

mean raw eQQ diff.....    0.26647 	 	     0.4811 
med  raw eQQ diff.....   0.078002 	 	    0.34242 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.073651 	 	    0.11806 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.21667 	 	       0.25 

var ratio (Tr/Co).....     1.5702 	 	     1.6567 
T-test p-value........     0.5163 	 	    0.49752 
KS Bootstrap p-value..      0.621 	 	      0.694 
KS Naive p-value......    0.84107 	 	    0.84749 
KS Statistic..........    0.21667 	 	       0.25 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     7.5833 	 	     7.5833 
mean control..........       7.52 	 	     9.6667 
std mean diff.........    0.94804 	 	    -31.185 

mean raw eQQ diff.....     1.4167 	 	       2.75 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          5 	 	          9 

mean eCDF diff........   0.073556 	 	    0.13889 
med  eCDF diff........   0.046667 	 	    0.16667 
max  eCDF diff........       0.21 	 	       0.25 

var ratio (Tr/Co).....     1.3285 	 	    0.83965 
T-test p-value........    0.97783 	 	    0.20899 
KS Bootstrap p-value..      0.615 	 	      0.754 
KS Naive p-value......    0.86696 	 	    0.84749 
KS Statistic..........       0.21 	 	       0.25 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.8284 	 	     5.8284 
mean control..........     4.9269 	 	     5.0646 
std mean diff.........     37.483 	 	      31.76 

mean raw eQQ diff.....     1.5996 	 	      1.577 
med  raw eQQ diff.....     1.1184 	 	     1.0609 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.13864 	 	    0.15385 
med  eCDF diff........    0.13667 	 	    0.16667 
max  eCDF diff........        0.3 	 	    0.33333 

var ratio (Tr/Co).....     1.0044 	 	    0.71048 
T-test p-value........     0.2972 	 	    0.33476 
KS Bootstrap p-value..      0.267 	 	      0.372 
KS Naive p-value......     0.4589 	 	    0.51755 
KS Statistic..........        0.3 	 	    0.33333 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.47929 
std mean diff.........     79.709 	 	     20.959 

mean raw eQQ diff.....    0.28577 	 	    0.07464 
med  raw eQQ diff.....    0.27444 	 	   0.034524 
max  raw eQQ diff.....    0.66667 	 	    0.28571 

mean eCDF diff........    0.28704 	 	   0.076923 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.16667 

var ratio (Tr/Co).....     1.4661 	 	    0.90539 
T-test p-value........   0.027314 	 	    0.24507 
KS Bootstrap p-value..      0.025 	 	      0.968 
KS Naive p-value......   0.052864 	 	    0.99626 
KS Statistic..........    0.47333 	 	    0.16667 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	      2.137 
std mean diff.........     -99.54 	 	    -56.514 

mean raw eQQ diff.....    0.89356 	 	    0.58817 
med  raw eQQ diff.....    0.60014 	 	    0.29429 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	   0.087719 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	     1.1982 
T-test p-value........   0.016254 	 	    0.15773 
KS Bootstrap p-value..      0.161 	 	      0.784 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22315 
std mean diff.........     23.726 	 	     17.832 

mean raw eQQ diff.....    0.11707 	 	    0.12124 
med  raw eQQ diff.....   0.060407 	 	   0.086081 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.089744 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.9114 
T-test p-value........     0.4614 	 	    0.38485 
KS Bootstrap p-value..      0.759 	 	      0.969 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.46852 
std mean diff.........     30.287 	 	    -36.646 

mean raw eQQ diff.....    0.09584 	 	    0.13528 
med  raw eQQ diff.....    0.10581 	 	   0.056331 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.10294 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	    0.39027 
T-test p-value........    0.41287 	 	    0.32162 
KS Bootstrap p-value..      0.015 	 	      0.772 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.3488 
std mean diff.........    -54.541 	 	     34.557 

mean raw eQQ diff.....    0.66496 	 	    0.46938 
med  raw eQQ diff.....    0.45889 	 	    0.28418 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.19167 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.35164 
T-test p-value........    0.29962 	 	    0.44283 
KS Bootstrap p-value..       0.24 	 	      0.209 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.29065 
std mean diff.........     1.5224 	 	    -31.287 

mean raw eQQ diff.....   0.056243 	 	    0.11807 
med  raw eQQ diff.....   0.047727 	 	   0.094643 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.14706 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.42295 
T-test p-value........    0.96635 	 	    0.31838 
KS Bootstrap p-value..      0.695 	 	      0.447 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.16667 	 	    0.16667 
mean control..........       0.12 	 	    0.16667 
std mean diff.........     11.989 	 	          0 

mean raw eQQ diff.....   0.083333 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.023333 	 	          0 
med  eCDF diff........   0.023333 	 	          0 
max  eCDF diff........   0.046667 	 	          0 

var ratio (Tr/Co).....     1.3774 	 	          1 
T-test p-value........    0.72456 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -4.0347 	 	    -4.0347 
mean control..........     -2.511 	 	    -3.8109 
std mean diff.........    -56.405 	 	    -8.2856 

mean raw eQQ diff.....     1.3865 	 	    0.99911 
med  raw eQQ diff.....     1.2586 	 	   0.043206 
max  raw eQQ diff.....     4.1458 	 	     3.0396 

mean eCDF diff........      0.147 	 	      0.075 
med  eCDF diff........    0.13167 	 	   0.083333 
max  eCDF diff........    0.39333 	 	    0.16667 

var ratio (Tr/Co).....     1.6244 	 	     5.3282 
T-test p-value........    0.10344 	 	    0.75033 
KS Bootstrap p-value..      0.066 	 	      0.923 
KS Naive p-value......    0.16264 	 	    0.99626 
KS Statistic..........    0.39333 	 	    0.16667 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.697 	 	     34.697 
mean control..........     35.804 	 	     35.203 
std mean diff.........     -5.883 	 	    -2.6897 

mean raw eQQ diff.....     3.4047 	 	     6.5243 
med  raw eQQ diff.....     3.4913 	 	     6.4675 
max  raw eQQ diff.....     5.8095 	 	         19 

mean eCDF diff........   0.062157 	 	      0.125 
med  eCDF diff........      0.045 	 	   0.083333 
max  eCDF diff........       0.19 	 	    0.33333 

var ratio (Tr/Co).....    0.92454 	 	    0.65533 
T-test p-value........    0.87014 	 	    0.87384 
KS Bootstrap p-value..      0.811 	 	      0.444 
KS Naive p-value......    0.93155 	 	    0.51755 
KS Statistic..........       0.19 	 	    0.33333 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.41667 	 	    0.41667 
mean control..........       0.36 	 	    0.58333 
std mean diff.........     11.005 	 	    -32.367 

mean raw eQQ diff.....   0.083333 	 	    0.16667 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028333 	 	   0.083333 
med  eCDF diff........   0.028333 	 	   0.083333 
max  eCDF diff........   0.056667 	 	    0.16667 

var ratio (Tr/Co).....     1.1048 	 	          1 
T-test p-value........    0.75343 	 	    0.31868 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........         17 	 	         17 
mean control..........      15.76 	 	      17.75 
std mean diff.........     8.4442 	 	    -5.1074 

mean raw eQQ diff.....     3.5833 	 	       2.75 
med  raw eQQ diff.....        1.5 	 	          2 
max  raw eQQ diff.....         12 	 	          9 

mean eCDF diff........   0.061014 	 	   0.063725 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........    0.16667 	 	    0.16667 

var ratio (Tr/Co).....     1.3227 	 	      1.086 
T-test p-value........     0.8048 	 	    0.80978 
KS Bootstrap p-value..       0.86 	 	      0.985 
KS Naive p-value......    0.97793 	 	    0.99626 
KS Statistic..........    0.16667 	 	    0.16667 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.83333 	 	    0.83333 
mean control..........       0.32 	 	       0.75 
std mean diff.........     131.88 	 	     21.409 

mean raw eQQ diff.....        0.5 	 	   0.083333 
med  raw eQQ diff.....        0.5 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.25667 	 	   0.041667 
med  eCDF diff........    0.25667 	 	   0.041667 
max  eCDF diff........    0.51333 	 	   0.083333 

var ratio (Tr/Co).....    0.66845 	 	    0.74074 
T-test p-value........  0.0017432 	 	       0.57 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.083333 	 	   0.083333 
mean control..........       0.04 	 	          0 
std mean diff.........     15.011 	 	     28.868 

mean raw eQQ diff.....          0 	 	   0.083333 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.021667 	 	   0.041667 
med  eCDF diff........   0.021667 	 	   0.041667 
max  eCDF diff........   0.043333 	 	   0.083333 

var ratio (Tr/Co).....     2.0833 	 	        Inf 
T-test p-value........    0.64544 	 	    0.31868 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54368 	 	    0.54368 
mean control..........    0.36459 	 	    0.30729 
std mean diff.........     22.675 	 	     29.929 

mean raw eQQ diff.....    0.22425 	 	     0.2575 
med  raw eQQ diff.....   0.055071 	 	   0.044054 
max  raw eQQ diff.....     2.0547 	 	     2.1983 

mean eCDF diff........   0.073333 	 	    0.10417 
med  eCDF diff........   0.071667 	 	   0.083333 
max  eCDF diff........    0.17333 	 	    0.33333 

var ratio (Tr/Co).....     11.077 	 	     14.615 
T-test p-value........    0.45681 	 	    0.27366 
KS Bootstrap p-value..      0.877 	 	      0.465 
KS Naive p-value......    0.96791 	 	    0.51755 
KS Statistic..........    0.17333 	 	    0.33333 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.66667 	 	    0.66667 
mean control..........       0.53 	 	    0.54167 
std mean diff.........     41.965 	 	     38.382 

mean raw eQQ diff.....    0.16667 	 	    0.20833 
med  raw eQQ diff.....      0.125 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........       0.12 	 	    0.16667 
med  eCDF diff........    0.18333 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.61115 	 	    0.42748 
T-test p-value........    0.28612 	 	    0.44359 
KS Bootstrap p-value..      0.481 	 	      0.274 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.5 	 	        0.5 
mean control..........       0.36 	 	        0.5 
std mean diff.........     26.808 	 	          0 

mean raw eQQ diff.....    0.16667 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.07 	 	          0 
med  eCDF diff........       0.07 	 	          0 
max  eCDF diff........       0.14 	 	          0 

var ratio (Tr/Co).....     1.1364 	 	          1 
T-test p-value........    0.44505 	 	          1 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     9.9167 	 	     9.9167 
mean control..........       7.08 	 	       8.25 
std mean diff.........     31.698 	 	     18.624 

mean raw eQQ diff.....       4.25 	 	     3.6667 
med  raw eQQ diff.....          2 	 	          1 
max  raw eQQ diff.....         14 	 	         12 

mean eCDF diff........    0.11021 	 	   0.090278 
med  eCDF diff........    0.10333 	 	   0.083333 
max  eCDF diff........    0.25333 	 	       0.25 

var ratio (Tr/Co).....     1.3367 	 	      1.061 
T-test p-value........    0.35795 	 	    0.46578 
KS Bootstrap p-value..      0.431 	 	      0.714 
KS Naive p-value......    0.67545 	 	    0.84749 
KS Statistic..........    0.25333 	 	       0.25 


Before Matching Minimum p.value: 0.0017432 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.15773 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.55393 	 	    0.55393 
mean control..........    0.27006 	 	    0.47929 
std mean diff.........     79.709 	 	     20.959 

mean raw eQQ diff.....    0.28577 	 	    0.07464 
med  raw eQQ diff.....    0.27444 	 	   0.034524 
max  raw eQQ diff.....    0.66667 	 	    0.28571 

mean eCDF diff........    0.28704 	 	   0.076923 
med  eCDF diff........      0.285 	 	   0.083333 
max  eCDF diff........    0.47333 	 	    0.16667 

var ratio (Tr/Co).....     1.4661 	 	    0.90539 
T-test p-value........   0.027314 	 	    0.24507 
KS Bootstrap p-value..      0.023 	 	      0.957 
KS Naive p-value......   0.052864 	 	    0.99626 
KS Statistic..........    0.47333 	 	    0.16667 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.5572 	 	     1.5572 
mean control..........     2.5784 	 	      2.137 
std mean diff.........     -99.54 	 	    -56.514 

mean raw eQQ diff.....    0.89356 	 	    0.58817 
med  raw eQQ diff.....    0.60014 	 	    0.29429 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.19569 	 	   0.087719 
med  eCDF diff........      0.195 	 	   0.083333 
max  eCDF diff........    0.35333 	 	       0.25 

var ratio (Tr/Co).....    0.58792 	 	     1.1982 
T-test p-value........   0.016254 	 	    0.15773 
KS Bootstrap p-value..      0.176 	 	      0.765 
KS Naive p-value......    0.26351 	 	    0.84749 
KS Statistic..........    0.35333 	 	       0.25 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.29136 	 	    0.29136 
mean control..........    0.20061 	 	    0.22315 
std mean diff.........     23.726 	 	     17.832 

mean raw eQQ diff.....    0.11707 	 	    0.12124 
med  raw eQQ diff.....   0.060407 	 	   0.086081 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.064737 	 	   0.089744 
med  eCDF diff........   0.053333 	 	   0.083333 
max  eCDF diff........       0.17 	 	    0.16667 

var ratio (Tr/Co).....     2.6265 	 	     1.9114 
T-test p-value........     0.4614 	 	    0.38485 
KS Bootstrap p-value..        0.8 	 	      0.953 
KS Naive p-value......    0.97323 	 	    0.99626 
KS Statistic..........       0.17 	 	    0.16667 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.38846 	 	    0.38846 
mean control..........    0.32229 	 	    0.46852 
std mean diff.........     30.287 	 	    -36.646 

mean raw eQQ diff.....    0.09584 	 	    0.13528 
med  raw eQQ diff.....    0.10581 	 	   0.056331 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15908 	 	    0.10294 
med  eCDF diff........       0.12 	 	   0.083333 
max  eCDF diff........    0.47667 	 	       0.25 

var ratio (Tr/Co).....    0.82072 	 	    0.39027 
T-test p-value........    0.41287 	 	    0.32162 
KS Bootstrap p-value..      0.022 	 	      0.763 
KS Naive p-value......   0.050218 	 	    0.84749 
KS Statistic..........    0.47667 	 	       0.25 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5238 	 	     2.5238 
mean control..........     2.8001 	 	     2.3488 
std mean diff.........    -54.541 	 	     34.557 

mean raw eQQ diff.....    0.66496 	 	    0.46938 
med  raw eQQ diff.....    0.45889 	 	    0.28418 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16241 	 	    0.19167 
med  eCDF diff........    0.15833 	 	    0.16667 
max  eCDF diff........       0.32 	 	    0.41667 

var ratio (Tr/Co).....    0.21619 	 	    0.35164 
T-test p-value........    0.29962 	 	    0.44283 
KS Bootstrap p-value..      0.216 	 	      0.197 
KS Naive p-value......    0.37747 	 	    0.24855 
KS Statistic..........       0.32 	 	    0.41667 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.22924 	 	    0.22924 
mean control..........    0.22626 	 	    0.29065 
std mean diff.........     1.5224 	 	    -31.287 

mean raw eQQ diff.....   0.056243 	 	    0.11807 
med  raw eQQ diff.....   0.047727 	 	   0.094643 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.069855 	 	    0.14706 
med  eCDF diff........       0.06 	 	    0.16667 
max  eCDF diff........    0.19667 	 	    0.33333 

var ratio (Tr/Co).....    0.90756 	 	    0.42295 
T-test p-value........    0.96635 	 	    0.31838 
KS Bootstrap p-value..      0.714 	 	      0.435 
KS Naive p-value......    0.91242 	 	    0.51755 
KS Statistic..........    0.19667 	 	    0.33333 


Before Matching Minimum p.value: 0.016254 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.15773 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4793   0.5539   0.0746           0.0645   0.2043  1.1574         
ave.log.duration.prev5          2.1370   1.5572   -0.5798          0.4175   -0.5901 -1.3888        
ave.outcome.prev5               0.2232   0.2914   0.0682           0.0779   0.2043  0.8756         
ForceUS.prop.prev10             0.4685   0.3885   -0.0801          0.0805   -0.2746 -0.9942        
ave.log.duration.prev10         2.3488   2.5238   0.1750           0.2256   0.2493  0.7759         
ave.outcome.prev10              0.2906   0.2292   -0.0614          0.0614   -0.2412 -1.0006        
---Overall Test---
      chisquare df p.value
strat      6.16  6   0.405
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     20 
$p.values
ForceUS     NPC 
  0.538   0.538 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.17765894 77.21195145 -0.01875902 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.04400253 81.63933081 -0.06157407 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 19.364825   2.037283  -1.313810 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.4977976  1.9600737  0.2637372 

Closed Testing
Intersection 1 of 7 

*** South Coding: Bush out ***

Opening: CreateVars150407.R 

txt> #### RESPONSE VARIABLES
txt> ### (1) U.S. use of force in MID
txt>   summary(mid$ForceUS)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
 0.0000  0.0000  0.0000  0.3387  1.0000  1.0000       6 

txt> ### (2) Duration of MID (days, censored at end of originating president's term)
txt>   summary(mid$DurationUS <- mid$DaysInTrm1)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
    1.0     1.0    18.0   120.3   120.5  1794.0       6 

txt> ### (3) Outcome
txt>   mid$outcome <- ordered(mid$outcome, labels = c("US Loss", "Draw", "US Win"))

txt>   summary(mid$outcome)
US Loss    Draw  US Win    NA's 
     11     301      60       6 

txt>   mid$OutcomeUS <- as.numeric(mid$outcome) - 2

txt>   table(mid$outcome, mid$OutcomeUS)
         
           -1   0   1
  US Loss  11   0   0
  Draw      0 301   0
  US Win    0   0  60

txt> #### STRUCTURAL (PRE-PRESIDENCY) COVARIATES
txt>   mid <- mutate(mid, ongoing.mid = NA,
txt+                 great.power = as.integer(Era == "1897-1945" | Era == "post-1945"),
txt+                 super.power = as.integer(Era == "post-1945"))

txt> ### Ongoing MID
txt>   for (i in 1:nrow(mid)) {
txt+     last.leader <- as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1
txt+     mid$ongoing.mid[i] <- any(mid$spillover[last.leader] == 1, na.rm = TRUE)
txt+   }

txt>   mid$ongoing.mid <- as.integer(mid$ongoing.mid)

txt> ### Number of Americans killed in the last war before the president's
txt> ### (adjusted) term began:
txt>   mid$prev.war.dead <- round(exp(mid$lnprevdead), 0)

txt>   mid$prev.war.dead[mid$Leader == "HarrisonWH"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Polk"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Taylor"] <- 13283

txt>   mid$prev.war.dead[mid$Leader == "Lincoln"] <- 13283

txt>   mid$prev.war.dead[as.numeric(mid$Leader) >= 17 & as.numeric(mid$Leader) <= 24] <-
txt+     620000  ## Includes Confederate dead in Civil War

txt>   mid$prev.war.dead[mid$Leader == "JohnsonLB"] <- 36574

txt>   mid$prev.war.dead[mid$Leader == "Clinton" | mid$Leader=="BushGW"] <- 382

txt>   mid$prev.war.dead[mid$Leader == "Obama"] <- 4222

txt>   mid$log.prev.war.dead <- log(mid$prev.war.dead)

txt> ### Years since last war
txt>   mid$yrs.since.war <- rep(NA, nrow(mid))

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 4, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 5 &
txt+                                   as.numeric(mid$Leader) <= 11,
txt+                               mid$TermStartYear - 1815, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="HarrisonWH"] <- 1841 - 1815

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 12 &
txt+                                   as.numeric(mid$Leader) <= 16,
txt+                               mid$TermStartYear - 1848, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Taylor"] <- 1849 - 1848

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 17 &
txt+                                   as.numeric(mid$Leader) <= 24,
txt+                               mid$TermStartYear - 1865, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Garfield"] <- 1881 - 1865

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 25 &
txt+                                   as.numeric(mid$Leader) <= 27,
txt+                               mid$TermStartYear - 1898, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 28 &
txt+                                   as.numeric(mid$Leader) <= 31,
txt+                               mid$TermStartYear - 1918, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 32,
txt+                               mid$TermStartYear - 1945, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 33 &
txt+                                   as.numeric(mid$Leader) <= 35,
txt+                               mid$TermStartYear - 1953, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 36 &
txt+                                   as.numeric(mid$Leader) <= 40,
txt+                               mid$TermStartYear - 1973, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(mid$yrs.since.war < 0, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 41 &
txt+                                   as.numeric(mid$Leader) <= 42,
txt+                               mid$TermStartYear - 1991, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader %in% "Obama"] <- 0

txt>   mid$log.yrs.since.war <- log(mid$yrs.since.war + 1)

txt> ### Interaction of Log Years Since War and Log Deaths
txt>   mid$log.dead.x.log.years <- mid$log.prev.war.dead * mid$log.yrs.since.war

txt> ### Americans killed in last war, as percentage of U.S. population
txt>   ## U.S. population figures obtained from:
txt>   ## http://www.census.gov/population/www/cen2000/maps/respop.html
txt>   us.pop <- data.frame(matrix(, ncol = 2, byrow = TRUE, data =
txt+                                   c(2000, 281421906,
txt+                                     1990, 248709873,
txt+                                     1980, 226542199,
txt+                                     1970, 203302031,
txt+                                     1960, 179323175,
txt+                                     1950, 151325798,
txt+                                     1940, 132164569,
txt+                                     1930, 123202624,
txt+                                     1920, 106021537,
txt+                                     1910, 92228496,
txt+                                     1900, 76212168,
txt+                                     1890, 62979766,
txt+                                     1880, 50189209,
txt+                                     1870, 38558371,
txt+                                     1860, 31443321,
txt+                                     1850, 23191876,
txt+                                     1840, 17063353,
txt+                                     1830, 12860702,
txt+                                     1820, 9638453,
txt+                                     1810, 7239881,
txt+                                     1800, 5308483,
txt+                                     1790, 3929214)))

txt>   mid$prev.war.dead.pct <- rep(NA, nrow(mid))

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2260,
txt+                                   (2260 / 7239881) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 13283,
txt+                                   (13283 / 23191876) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 620000,
txt+                                   (620000 / 31443321) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2446,
txt+                                   (2446 / 76212168) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 116516,
txt+                                   (116516 / 106021537) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 405399,
txt+                                   (405399 / 132164569) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 36574,
txt+                                   (36574 / 151325798) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 58209,
txt+                                   (58209 / 203302031) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 382,
txt+                                   (382 / 248709873) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 4222,
txt+                                   (4222 / 281421906) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   ##
txt> ### Log Previous War Dead Percent (to deal with skew)
txt>   mid$log.war.dead.pct <- log(mid$prev.war.dead.pct)

txt>   ##
txt> ### Interaction of Log Previous War Dead Percent and Log Years Since
txt> ### War
txt>   mid$log.prv.dead.pct.x.log.yrs <- mid$log.war.dead.pct * mid$log.yrs.since.war

txt> ### Ongoing War
txt>   mid$ongoing.war <- as.integer(mid$yrs.since.war == 0 & mid$Pres1 != "JohnsonA")

txt>   ## Note: Lee's surrender at Appomatox occurred about a
txt>   ## week before Andrew Johnson ascended to the presidency, so he is
txt>   ## coded as having come into office without a war ongoing.
txt>   ## Also: Even though the War of 1812 began in his presidency, Madison
txt>   ## is coded as mid$ongoing.war = 1 because war was ongoing at the point
txt>   ## when the MID data begin (1816).
txt>   ##
txt> ### Elite Veteran (imputed)
txt>   ## Impute an elite veteran percentage of 40 (should be approximately
txt>   ## right) for Clinton and BushGW, for whom the data are missing.
txt>   mid$elitevet.imput <- ifelse(mid$Leader %in% c("Clinton", "BushGW", "Obama"),
txt+                                40, mid$elitevet)

txt> ### Lagged value of treatment (South1)
txt>   mid$South1.prev <- NA

txt>   for (i in 1:nrow(mid)){
txt+     mid$South1.prev[i] <-
txt+       mid$South1[as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1][1]
txt+   }

txt> ### Number of non-fishing MIDs in previous ten (five) years
txt>   mid$nMIDs.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*10)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   mid$nMIDs.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*5)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of MIDs in
txt>   ## the ten years AFTER the end of Monroe's term, which is 2.
txt>   mid$nMIDs.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*10)
txt+         & mid$nonfishing, na.rm = TRUE)

txt>   ## Same for 5 years
txt>   mid$nMIDs.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*5)
txt+         & mid$nonfishing, na.rm = TRUE)

txt> ### Uses of Force in previous 5 and 10 years
txt>   mid$ForceUS.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     (term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1])
txt+     mid$ForceUS.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*5) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   mid$ForceUS.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$ForceUS.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*10) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of uses of
txt>   ## Force in the ten years AFTER the end of Monroe's term, which is
txt>   ## 1. This actually only changes Madison's value, which was 0
txt>   ## (Monroe's was already 1).
txt>   mid$ForceUS.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10*365)
txt+         & (mid$nonfishing & mid$ForceUS == 1), na.rm=TRUE)

txt>   mid$ForceUS.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5)
txt+         & mid$nonfishing & mid$ForceUS == 1, na.rm=TRUE)

txt> ### Uses of force per MID in last ten years
txt>   mid$ForceUS.prop.prev5 <- mid$ForceUS.prev5 / mid$nMIDs.prev5

txt>   mid$ForceUS.prop.prev10 <- mid$ForceUS.prev10 / mid$nMIDs.prev10

txt> ### Log Duration
txt>   mid$ave.log.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.log.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.log.duration.prev5[i] <-
txt+       mean(log(mid$DurationUS[pre5 & mid$nonfishing]), na.rm = TRUE)
txt+     mid$ave.log.duration.prev10[i] <-
txt+       mean(log(mid$DurationUS[pre10 & mid$nonfishing]), na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*10))

txt>   mid$ave.log.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.log.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Duration
txt>   mid$ave.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.duration.prev5[i] <-
txt+       mean(mid$DurationUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.duration.prev10[i] <-
txt+       mean(mid$DurationUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1] &
txt+                   mid$nonfishing & mid$StartDateUS <
txt+                       (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Outcome
txt>   mid$ave.outcome.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.outcome.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.outcome.prev5[i] <-
txt+       mean(mid$OutcomeUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.outcome.prev10[i] <-
txt+       mean(mid$OutcomeUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.outcome.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post5mm], na.rm = TRUE)

txt>   mid$ave.outcome.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post10mm], na.rm = TRUE)

txt> ### Party and military variables
txt>   mid <- mutate(mid,
txt+                 Dem = as.integer(Party1Factor == "Democratic"), 
txt+                 DemRep = as.integer(Party1Factor == "Democratic-Republican"),
txt+                 Repub = as.integer(Party1Factor == "Republican"),
txt+                 Whig = as.integer(Party1Factor == "Whig"),
txt+                 DemDR = Dem + DemRep,
txt+                 military.occupation = as.integer(MiltOcc == "yes"),
txt+                 military.experience = as.integer(MiltExp == "no"))

File name: NofishMIDs1-150423-a.pdf 


File name: NofishMIDs2-150423-a.pdf 

Source: local data frame [37 x 6]

       LeaderName    Region MIDs      Force  Duration     Outcome
1    Adams, J. Q. Non-South    1 1.00000000   1.00000  1.00000000
2          Arthur Non-South    2 0.00000000  27.00000  0.00000000
3        Buchanan Non-South    6 0.16666667  58.16667  0.00000000
4  Bush, G. H. W. Non-South    9 0.66666667  85.44444  0.11111111
5     Bush, G. W. Non-South   24 0.62500000  95.08333  0.08333333
6          Carter     South   12 0.16666667  56.58333 -0.08333333
7       Cleveland Non-South    9 0.22222222  28.22222  0.00000000
8         Clinton     South   26 0.34615385  93.38462  0.07692308
9        Coolidge Non-South    1 1.00000000 145.00000  1.00000000
10     Eisenhower Non-South   31 0.09677419 103.16129  0.00000000
..            ...       ...  ...        ...       ...         ...

File name: PresSummaryPrimary150423-a.pdf 


File name: PresSummaryBilateral150423-a.pdf 

Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, bilateral)

REML criterion at convergence: 258.5

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9308 -1.1918  0.4168  0.6702  1.2129 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.02688  0.1640  
 Residual             0.17257  0.4154  
Number of obs: 215, groups:  Leader, 35

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.77290    0.05147  15.016
South1      -0.20188    0.09425  -2.142

Correlation of Fixed Effects:
       (Intr)
South1 -0.546
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, primary)

REML criterion at convergence: 364.1

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8722 -1.3129  0.4566  0.7713  1.1299 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.01804  0.1343  
 Residual             0.18439  0.4294  
Number of obs: 296, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.76945    0.04356  17.665
South1      -0.19843    0.08176  -2.427

Correlation of Fixed Effects:
       (Intr)
South1 -0.533
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, nonfishing)

REML criterion at convergence: 422.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9048 -1.2263  0.4469  0.7135  1.1292 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.01617  0.1272  
 Residual             0.18082  0.4252  
Number of obs: 352, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.78489    0.04027   19.49
South1      -0.21150    0.07692   -2.75

Correlation of Fixed Effects:
       (Intr)
South1 -0.524

*** bilateral none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.1617343 43.3160182  0.1705298 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.072             0.094             0.041             0.072             0.094             0.046             0.036 

*** bilateral none FALSE harmonic ***

*** bilateral none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 17.386434   1.989507  18.064983 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.072             0.108             0.044             0.072             0.108             0.052             0.042 

*** bilateral none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  1.966743   1.265657   2.347907 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.030             0.112             0.019             0.031             0.112             0.021             0.012 

*** bilateral none TRUE mean ***

*** bilateral none TRUE harmonic ***

*** bilateral none TRUE rank ***

*** bilateral none TRUE hlm ***

*** bilateral log.placebo FALSE ***


Thu Apr 23 17:49:24 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.190536e-02  5.323135e-02  5.634010e-02  7.163756e-02  2.592948e-01  4.004737e-01  4.004737e-01  4.004737e-01  7.493205e-01  7.590978e-01  7.590978e-01  9.882611e-01  

      1 	4.915298e-02  5.614441e-02  5.631701e-02  9.924191e-02  4.004737e-01  4.004737e-01  4.004737e-01  6.080797e-01  6.399499e-01  7.590978e-01  7.590978e-01  9.882611e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.915298e-02  5.614441e-02  5.631701e-02  9.924191e-02  4.004737e-01  4.004737e-01  4.004737e-01  6.080797e-01  6.399499e-01  7.590978e-01  7.590978e-01  9.882611e-01  

Parameters at the Solution:

 X[ 1] :	9.837128e+02
 X[ 2] :	5.129011e+01
 X[ 3] :	7.878534e+02
 X[ 4] :	2.135898e+01
 X[ 5] :	8.063746e+01
 X[ 6] :	3.513858e+02

Solution Found Generation 1
Number of Generations Run 12

Thu Apr 23 17:59:58 2015
Total run time : 0 hours 10 minutes and 34 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4       Harding         1          1
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1         Obama         4          3
6  Johnson, A.         5          5        Truman         6          4
7       Wilson        15         13   Bush, G. W.        24         20
8  Johnson, L.        22         15       Lincoln         4          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10 Roosevelt, F.        10          8

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.41014 
std mean diff.........     101.96 	 	     52.606 

mean raw eQQ diff.....    0.35772 	 	    0.20088 
med  raw eQQ diff.....    0.32143 	 	    0.12879 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	       0.15 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.1846 
T-test p-value........   0.011232 	 	   0.049153 
KS Bootstrap p-value..      0.047 	 	      0.298 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5977 
std mean diff.........    -104.96 	 	    -104.36 

mean raw eQQ diff.....     1.0691 	 	     1.1458 
med  raw eQQ diff.....    0.95821 	 	    0.96215 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.22625 	 	       0.25 
med  eCDF diff........       0.23 	 	        0.3 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	     1.0376 
T-test p-value........   0.015659 	 	   0.056317 
KS Bootstrap p-value..      0.149 	 	      0.344 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.18281 
std mean diff.........     40.098 	 	     35.215 

mean raw eQQ diff.....     0.1643 	 	    0.15543 
med  raw eQQ diff.....   0.066871 	 	    0.07177 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.10421 	 	    0.13846 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     2.4801 
T-test p-value........    0.25237 	 	   0.056144 
KS Bootstrap p-value..       0.49 	 	      0.662 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.37324 
std mean diff.........     46.479 	 	     11.988 

mean raw eQQ diff.....    0.13906 	 	   0.068045 
med  raw eQQ diff.....    0.13393 	 	   0.038228 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	   0.072222 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     2.0803 
T-test p-value........    0.21206 	 	    0.60808 
KS Bootstrap p-value..      0.055 	 	      0.966 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.6783 
std mean diff.........    -69.573 	 	    -32.754 

mean raw eQQ diff.....    0.63087 	 	     0.3588 
med  raw eQQ diff.....    0.50388 	 	    0.21737 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16353 	 	    0.12105 
med  eCDF diff........       0.16 	 	        0.1 
max  eCDF diff........       0.32 	 	        0.3 

var ratio (Tr/Co).....    0.27248 	 	     0.4763 
T-test p-value........    0.17153 	 	    0.63995 
KS Bootstrap p-value..      0.355 	 	      0.679 
KS Naive p-value......     0.4574 	 	     0.7591 
KS Statistic..........       0.32 	 	        0.3 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.17148 
std mean diff.........     36.192 	 	     41.444 

mean raw eQQ diff.....   0.073648 	 	   0.085043 
med  raw eQQ diff.....   0.075458 	 	   0.089744 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.15714 
med  eCDF diff........       0.12 	 	       0.15 
max  eCDF diff........       0.28 	 	        0.4 

var ratio (Tr/Co).....     1.5581 	 	     1.3594 
T-test p-value........    0.32477 	 	   0.099242 
KS Bootstrap p-value..      0.467 	 	      0.328 
KS Naive p-value......    0.62998 	 	    0.40047 
KS Statistic..........       0.28 	 	        0.4 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.049153 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.41014 
std mean diff.........     101.96 	 	     52.606 

mean raw eQQ diff.....    0.35772 	 	    0.20088 
med  raw eQQ diff.....    0.32143 	 	    0.12879 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	       0.15 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.1846 
T-test p-value........   0.011232 	 	   0.049153 
KS Bootstrap p-value..       0.04 	 	      0.303 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5977 
std mean diff.........    -104.96 	 	    -104.36 

mean raw eQQ diff.....     1.0691 	 	     1.1458 
med  raw eQQ diff.....    0.95821 	 	    0.96215 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.22625 	 	       0.25 
med  eCDF diff........       0.23 	 	        0.3 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	     1.0376 
T-test p-value........   0.015659 	 	   0.056317 
KS Bootstrap p-value..      0.137 	 	      0.345 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.18281 
std mean diff.........     40.098 	 	     35.215 

mean raw eQQ diff.....     0.1643 	 	    0.15543 
med  raw eQQ diff.....   0.066871 	 	    0.07177 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.10421 	 	    0.13846 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     2.4801 
T-test p-value........    0.25237 	 	   0.056144 
KS Bootstrap p-value..       0.51 	 	      0.654 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.37324 
std mean diff.........     46.479 	 	     11.988 

mean raw eQQ diff.....    0.13906 	 	   0.068045 
med  raw eQQ diff.....    0.13393 	 	   0.038228 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	   0.072222 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     2.0803 
T-test p-value........    0.21206 	 	    0.60808 
KS Bootstrap p-value..       0.06 	 	       0.97 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.6783 
std mean diff.........    -69.573 	 	    -32.754 

mean raw eQQ diff.....    0.63087 	 	     0.3588 
med  raw eQQ diff.....    0.50388 	 	    0.21737 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16353 	 	    0.12105 
med  eCDF diff........       0.16 	 	        0.1 
max  eCDF diff........       0.32 	 	        0.3 

var ratio (Tr/Co).....    0.27248 	 	     0.4763 
T-test p-value........    0.17153 	 	    0.63995 
KS Bootstrap p-value..      0.336 	 	      0.669 
KS Naive p-value......     0.4574 	 	     0.7591 
KS Statistic..........       0.32 	 	        0.3 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.17148 
std mean diff.........     36.192 	 	     41.444 

mean raw eQQ diff.....   0.073648 	 	   0.085043 
med  raw eQQ diff.....   0.075458 	 	   0.089744 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.15714 
med  eCDF diff........       0.12 	 	       0.15 
max  eCDF diff........       0.28 	 	        0.4 

var ratio (Tr/Co).....     1.5581 	 	     1.3594 
T-test p-value........    0.32477 	 	   0.099242 
KS Bootstrap p-value..      0.462 	 	      0.337 
KS Naive p-value......    0.62998 	 	    0.40047 
KS Statistic..........       0.28 	 	        0.4 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.049153 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4101   0.6051   0.1949           0.1056   0.6162  1.8455  .      
ave.log.duration.prev5          2.5977   1.4520   -1.1458          0.6365   -1.0532 -1.8000 .      
ave.outcome.prev5               0.1828   0.3277   0.1449           0.0805   0.4204  1.8010  .      
ForceUS.prop.prev10             0.3732   0.4019   0.0286           0.0546   0.1393  0.5239         
ave.log.duration.prev10         2.6783   2.5009   -0.1773          0.3706   -0.2631 -0.4784        
ave.outcome.prev10              0.1715   0.2565   0.0850           0.0535   0.4449  1.5890         
---Overall Test---
      chisquare df p.value
strat      8.39  6   0.211
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      3 
$p.values
ForceUS     NPC 
  0.911   0.911 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07607582 15.98206967  0.15163934 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2217308 39.7869780  0.2665110 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 4.7547387  0.9680466  9.4134221 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.1521048  0.2141901  1.6906226 

Closed Testing
Intersection 1 of 7 

*** bilateral log.placebo TRUE ***


Thu Apr 23 19:14:13 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.968802e-02  8.068249e-02  9.357432e-02  3.558857e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.875041e-01  4.921331e-01  9.882611e-01  9.882611e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.968802e-02  8.068249e-02  9.357432e-02  3.558857e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.875041e-01  4.921331e-01  9.882611e-01  9.882611e-01  

Parameters at the Solution:

 X[ 1] :	6.092473e+02
 X[ 2] :	5.742720e+02
 X[ 3] :	9.826645e+02
 X[ 4] :	3.067232e+01
 X[ 5] :	4.226395e+02
 X[ 6] :	1.806912e+01

Solution Found Generation 1
Number of Generations Run 11

Thu Apr 23 19:25:31 2015
Total run time : 0 hours 11 minutes and 18 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4          Grant         7          6
4        Tyler         2          2    Bush, G. W.        24         20
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5         Truman         6          4
7       Wilson        15         13       Buchanan         6          5
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7  Roosevelt, F.        10          8
10     Clinton        24         10          Obama         4          3

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.41179 
std mean diff.........     101.96 	 	     52.159 

mean raw eQQ diff.....    0.35772 	 	     0.2028 
med  raw eQQ diff.....    0.32143 	 	    0.15152 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.13636 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     3.2696 
T-test p-value........   0.011232 	 	   0.080682 
KS Bootstrap p-value..      0.047 	 	      0.278 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.2798 
std mean diff.........    -104.96 	 	    -75.408 

mean raw eQQ diff.....     1.0691 	 	    0.82788 
med  raw eQQ diff.....    0.95821 	 	      0.589 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.22625 	 	    0.21875 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	     3.0052 
T-test p-value........   0.015659 	 	   0.079688 
KS Bootstrap p-value..      0.149 	 	      0.331 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.25836 
std mean diff.........     40.098 	 	     16.854 

mean raw eQQ diff.....     0.1643 	 	   0.094159 
med  raw eQQ diff.....   0.066871 	 	    0.06203 
max  raw eQQ diff.....    0.66667 	 	       0.25 

mean eCDF diff........    0.10421 	 	   0.091667 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     1.7984 
T-test p-value........    0.25237 	 	   0.093574 
KS Bootstrap p-value..       0.49 	 	      0.943 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.34253 
std mean diff.........     46.479 	 	     24.847 

mean raw eQQ diff.....    0.13906 	 	   0.077971 
med  raw eQQ diff.....    0.13393 	 	   0.051611 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	    0.08125 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     3.5825 
T-test p-value........    0.21206 	 	    0.49213 
KS Bootstrap p-value..      0.055 	 	      0.961 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.4399 
std mean diff.........    -69.573 	 	     11.279 

mean raw eQQ diff.....    0.63087 	 	    0.18457 
med  raw eQQ diff.....    0.50388 	 	   0.082838 
max  raw eQQ diff.....     1.8581 	 	    0.59965 

mean eCDF diff........    0.16353 	 	    0.14706 
med  eCDF diff........       0.16 	 	        0.1 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	     1.6799 
T-test p-value........    0.17153 	 	     0.4875 
KS Bootstrap p-value..      0.355 	 	      0.311 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.20573 
std mean diff.........     36.192 	 	     24.754 

mean raw eQQ diff.....   0.073648 	 	   0.077717 
med  raw eQQ diff.....   0.075458 	 	   0.075458 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.12143 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.4 

var ratio (Tr/Co).....     1.5581 	 	     1.1965 
T-test p-value........    0.32477 	 	    0.35589 
KS Bootstrap p-value..      0.467 	 	      0.337 
KS Naive p-value......    0.62998 	 	    0.40047 
KS Statistic..........       0.28 	 	        0.4 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.079688 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.41179 
std mean diff.........     101.96 	 	     52.159 

mean raw eQQ diff.....    0.35772 	 	     0.2028 
med  raw eQQ diff.....    0.32143 	 	    0.15152 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.13636 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     3.2696 
T-test p-value........   0.011232 	 	   0.080682 
KS Bootstrap p-value..       0.04 	 	       0.28 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.2798 
std mean diff.........    -104.96 	 	    -75.408 

mean raw eQQ diff.....     1.0691 	 	    0.82788 
med  raw eQQ diff.....    0.95821 	 	      0.589 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.22625 	 	    0.21875 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	     3.0052 
T-test p-value........   0.015659 	 	   0.079688 
KS Bootstrap p-value..      0.137 	 	       0.35 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.25836 
std mean diff.........     40.098 	 	     16.854 

mean raw eQQ diff.....     0.1643 	 	   0.094159 
med  raw eQQ diff.....   0.066871 	 	    0.06203 
max  raw eQQ diff.....    0.66667 	 	       0.25 

mean eCDF diff........    0.10421 	 	   0.091667 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     1.7984 
T-test p-value........    0.25237 	 	   0.093574 
KS Bootstrap p-value..       0.51 	 	      0.933 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.34253 
std mean diff.........     46.479 	 	     24.847 

mean raw eQQ diff.....    0.13906 	 	   0.077971 
med  raw eQQ diff.....    0.13393 	 	   0.051611 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	    0.08125 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     3.5825 
T-test p-value........    0.21206 	 	    0.49213 
KS Bootstrap p-value..       0.06 	 	      0.962 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.4399 
std mean diff.........    -69.573 	 	     11.279 

mean raw eQQ diff.....    0.63087 	 	    0.18457 
med  raw eQQ diff.....    0.50388 	 	   0.082838 
max  raw eQQ diff.....     1.8581 	 	    0.59965 

mean eCDF diff........    0.16353 	 	    0.14706 
med  eCDF diff........       0.16 	 	        0.1 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	     1.6799 
T-test p-value........    0.17153 	 	     0.4875 
KS Bootstrap p-value..      0.336 	 	      0.336 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.20573 
std mean diff.........     36.192 	 	     24.754 

mean raw eQQ diff.....   0.073648 	 	   0.077717 
med  raw eQQ diff.....   0.075458 	 	   0.075458 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.12143 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.4 

var ratio (Tr/Co).....     1.5581 	 	     1.1965 
T-test p-value........    0.32477 	 	    0.35589 
KS Bootstrap p-value..      0.462 	 	      0.339 
KS Naive p-value......    0.62998 	 	    0.40047 
KS Statistic..........       0.28 	 	        0.4 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.079688 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4118   0.6051   0.1933           0.1157   0.6455  1.6705  .      
ave.log.duration.prev5          2.2798   1.4520   -0.8279          0.4942   -0.9238 -1.6752 .      
ave.outcome.prev5               0.2584   0.3277   0.0693           0.0430   0.1911  1.6127         
ForceUS.prop.prev10             0.3425   0.4019   0.0593           0.0850   0.3107  0.6983         
ave.log.duration.prev10         2.4399   2.5009   0.0611           0.0865   0.1263  0.7057         
ave.outcome.prev10              0.2057   0.2565   0.0508           0.0546   0.2584  0.9301         
---Overall Test---
      chisquare df p.value
strat      9.75  6   0.136
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     -4 
$p.values
ForceUS     NPC 
  0.923   0.923 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1001838 15.2077206  0.1176471 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2174451 29.5426923  0.2236538 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  6.612132   0.981283   7.795037 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.1859420  0.1403146  1.4856090 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs FALSE ***


Thu Apr 23 20:40:00 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.193156e-01  3.193156e-01  3.358530e-01  3.707677e-01  4.004737e-01  4.175237e-01  6.657839e-01  8.791969e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.193156e-01  3.193156e-01  3.983650e-01  4.058289e-01  4.175237e-01  6.191735e-01  7.542004e-01  7.590978e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.193156e-01  3.193156e-01  4.175237e-01  4.230816e-01  4.283194e-01  6.990510e-01  7.141875e-01  7.590978e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.193156e-01  3.193156e-01  4.175237e-01  4.230816e-01  4.283194e-01  6.990510e-01  7.141875e-01  7.590978e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.228154e+02
 X[ 2] :	6.326724e+01
 X[ 3] :	2.060109e+02
 X[ 4] :	6.738209e+02
 X[ 5] :	9.219947e+02
 X[ 6] :	1.808837e+02
 X[ 7] :	3.391727e+01

Solution Found Generation 2
Number of Generations Run 13

Thu Apr 23 20:51:26 2015
Total run time : 0 hours 11 minutes and 26 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4       Lincoln         4          3
4        Tyler         2          2     Cleveland         9          6
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10       Harding         1          1

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.4 
std mean diff.........     -38.73 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........        0.1 	 	          0 
med  eCDF diff........        0.1 	 	          0 
max  eCDF diff........        0.2 	 	          0 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.2 
std mean diff.........    -12.421 	 	     20.702 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....    0.97222 	 	     1.3125 
T-test p-value........      0.745 	 	    0.31932 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1894.4 
std mean diff.........     -45.24 	 	    -13.088 

mean raw eQQ diff.....         31 	 	       22.2 
med  raw eQQ diff.....         34 	 	         22 
max  raw eQQ diff.....         56 	 	         33 

mean eCDF diff........      0.176 	 	       0.16 
med  eCDF diff........       0.14 	 	       0.15 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     2.0399 
T-test p-value........    0.21717 	 	    0.42832 
KS Bootstrap p-value..      0.064 	 	       0.35 
KS Naive p-value......   0.074015 	 	    0.41752 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.3 
std mean diff.........    -45.544 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.11 	 	          0 
med  eCDF diff........       0.11 	 	          0 
max  eCDF diff........       0.22 	 	          0 

var ratio (Tr/Co).....    0.89744 	 	          1 
T-test p-value........    0.24695 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     2.0368 
std mean diff.........    -5.7886 	 	    -15.378 

mean raw eQQ diff.....    0.12454 	 	    0.35921 
med  raw eQQ diff.....   0.078915 	 	     0.2695 
max  raw eQQ diff.....    0.51083 	 	     1.0986 

mean eCDF diff........   0.064762 	 	   0.086667 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     2.2323 
T-test p-value........    0.87448 	 	    0.42308 
KS Bootstrap p-value..      0.922 	 	      0.959 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	          7 
std mean diff.........    -26.359 	 	     -6.429 

mean raw eQQ diff.....        1.8 	 	        0.8 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........      0.096 	 	   0.066667 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     1.0386 	 	     1.1461 
T-test p-value........    0.48877 	 	    0.69905 
KS Bootstrap p-value..      0.496 	 	      0.942 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.0601 
std mean diff.........     7.3104 	 	     14.612 

mean raw eQQ diff.....     1.0461 	 	     1.4264 
med  raw eQQ diff.....    0.61465 	 	     1.2033 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	       0.14 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.56423 
T-test p-value........    0.84878 	 	    0.71419 
KS Bootstrap p-value..      0.768 	 	       0.64 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


Before Matching Minimum p.value: 0.064 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.31932 
Variable Name(s): super.power  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.23739 
std mean diff.........     101.96 	 	     99.225 

mean raw eQQ diff.....    0.35772 	 	    0.36767 
med  raw eQQ diff.....    0.32143 	 	    0.35417 
max  raw eQQ diff.....    0.73684 	 	    0.66667 

mean eCDF diff........    0.34941 	 	    0.34167 
med  eCDF diff........       0.38 	 	        0.4 
max  eCDF diff........       0.48 	 	        0.5 

var ratio (Tr/Co).....     2.4512 	 	     1.5597 
T-test p-value........   0.011232 	 	   0.025496 
KS Bootstrap p-value..       0.04 	 	      0.129 
KS Naive p-value......   0.074398 	 	    0.16408 
KS Statistic..........       0.48 	 	        0.5 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     3.0247 
std mean diff.........    -104.96 	 	    -143.25 

mean raw eQQ diff.....     1.0691 	 	     1.5727 
med  raw eQQ diff.....    0.95821 	 	     1.6018 
max  raw eQQ diff.....     2.3128 	 	      2.298 

mean eCDF diff........    0.22625 	 	    0.23889 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.5 

var ratio (Tr/Co).....    0.69226 	 	      0.478 
T-test p-value........   0.015659 	 	   0.041399 
KS Bootstrap p-value..      0.137 	 	       0.14 
KS Naive p-value......    0.20319 	 	    0.16408 
KS Statistic..........        0.4 	 	        0.5 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.14207 
std mean diff.........     40.098 	 	     45.116 

mean raw eQQ diff.....     0.1643 	 	    0.18564 
med  raw eQQ diff.....   0.066871 	 	   0.068074 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	    0.14545 
med  eCDF diff........       0.08 	 	        0.2 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     4.6929 
T-test p-value........    0.25237 	 	    0.15466 
KS Bootstrap p-value..       0.51 	 	      0.606 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.35276 
std mean diff.........     46.479 	 	      20.56 

mean raw eQQ diff.....    0.13906 	 	    0.10244 
med  raw eQQ diff.....    0.13393 	 	   0.074176 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	    0.13333 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.5186 	 	     1.1193 
T-test p-value........    0.21206 	 	    0.63498 
KS Bootstrap p-value..       0.06 	 	      0.301 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     3.1333 
std mean diff.........    -69.573 	 	    -116.81 

mean raw eQQ diff.....    0.63087 	 	    0.95333 
med  raw eQQ diff.....    0.50388 	 	     0.6643 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16353 	 	    0.18947 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.17369 
T-test p-value........    0.17153 	 	    0.17952 
KS Bootstrap p-value..      0.336 	 	      0.368 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.20066 
std mean diff.........     36.192 	 	     27.223 

mean raw eQQ diff.....   0.073648 	 	   0.076631 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.12667 	 	    0.10769 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.6914 
T-test p-value........    0.32477 	 	    0.42055 
KS Bootstrap p-value..      0.462 	 	      0.656 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.025496 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2374   0.6051   0.3677           0.1801   1.0954  2.0414  *      
ave.log.duration.prev5          3.0247   1.4520   -1.5727          0.8276   -1.1521 -1.9003 .      
ave.outcome.prev5               0.1421   0.3277   0.1856           0.1331   0.5793  1.3945         
ForceUS.prop.prev10             0.3528   0.4019   0.0491           0.1011   0.2113  0.4855         
ave.log.duration.prev10         3.1333   2.5009   -0.6323          0.4783   -0.6355 -1.3221        
ave.outcome.prev10              0.2007   0.2565   0.0559           0.0685   0.3052  0.8154         
---Overall Test---
      chisquare df p.value
strat      5.46  6   0.486
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     19 
$p.values
ForceUS     NPC 
  0.349   0.349 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2086806 38.4979167  0.1611111 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3041117 50.3343590  0.2667491 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 11.373090   1.526757   8.629167 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
340.5045294   0.9472175   1.7351538 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs TRUE ***


Thu Apr 23 22:10:45 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.193156e-01  3.193156e-01  3.196354e-01  3.567842e-01  3.844205e-01  4.004737e-01  6.940362e-01  7.590978e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.193156e-01  3.193156e-01  3.519735e-01  3.976703e-01  4.004737e-01  9.072066e-01  9.306612e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.193156e-01  3.193156e-01  3.519735e-01  3.976703e-01  4.004737e-01  9.072066e-01  9.306612e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.861888e+02
 X[ 2] :	6.949996e+00
 X[ 3] :	2.819986e+02
 X[ 4] :	9.898698e+02
 X[ 5] :	6.360586e+02
 X[ 6] :	4.441674e+01
 X[ 7] :	8.002758e+02

Solution Found Generation 1
Number of Generations Run 12

Thu Apr 23 22:22:29 2015
Total run time : 0 hours 11 minutes and 44 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Fillmore         3          3
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4      Cleveland         9          6
4        Tyler         2          2        Lincoln         4          3
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5       Fillmore         3          3
7       Wilson        15         13  Roosevelt, T.         9          7
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7       Coolidge         1          1
10     Clinton        24         10         Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.4 
std mean diff.........     -38.73 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........        0.1 	 	          0 
med  eCDF diff........        0.1 	 	          0 
max  eCDF diff........        0.2 	 	          0 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.2 
std mean diff.........    -12.421 	 	     20.702 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....    0.97222 	 	     1.3125 
T-test p-value........      0.745 	 	    0.31932 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1894.6 
std mean diff.........     -45.24 	 	    -13.373 

mean raw eQQ diff.....         31 	 	       20.6 
med  raw eQQ diff.....         34 	 	       20.5 
max  raw eQQ diff.....         56 	 	         40 

mean eCDF diff........      0.176 	 	    0.13158 
med  eCDF diff........       0.14 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.6846 
T-test p-value........    0.21717 	 	    0.39767 
KS Bootstrap p-value..      0.064 	 	      0.328 
KS Naive p-value......   0.074015 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.3 
std mean diff.........    -45.544 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.11 	 	          0 
med  eCDF diff........       0.11 	 	          0 
max  eCDF diff........       0.22 	 	          0 

var ratio (Tr/Co).....    0.89744 	 	          1 
T-test p-value........    0.24695 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     2.0834 
std mean diff.........    -5.7886 	 	    -19.047 

mean raw eQQ diff.....    0.12454 	 	    0.40581 
med  raw eQQ diff.....   0.078915 	 	     0.2695 
max  raw eQQ diff.....    0.51083 	 	     1.0986 

mean eCDF diff........   0.064762 	 	   0.086667 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     2.5697 
T-test p-value........    0.87448 	 	    0.35197 
KS Bootstrap p-value..      0.922 	 	      0.963 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        6.5 
std mean diff.........    -26.359 	 	     1.6072 

mean raw eQQ diff.....        1.8 	 	        1.1 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........      0.096 	 	   0.066667 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     1.0386 	 	     1.0939 
T-test p-value........    0.48877 	 	    0.93066 
KS Bootstrap p-value..      0.496 	 	      0.925 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.4497 
std mean diff.........     7.3104 	 	    -1.3825 

mean raw eQQ diff.....     1.0461 	 	    0.38741 
med  raw eQQ diff.....    0.61465 	 	     0.1013 
max  raw eQQ diff.....     4.1068 	 	     1.4784 

mean eCDF diff........   0.071818 	 	   0.069231 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....    0.93878 	 	     1.1797 
T-test p-value........    0.84878 	 	    0.90721 
KS Bootstrap p-value..      0.768 	 	      0.928 
KS Naive p-value......     0.9375 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


Before Matching Minimum p.value: 0.064 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.31932 
Variable Name(s): super.power  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	     0.1705 
std mean diff.........     101.96 	 	     117.28 

mean raw eQQ diff.....    0.35772 	 	    0.43456 
med  raw eQQ diff.....    0.32143 	 	    0.41983 
max  raw eQQ diff.....    0.73684 	 	        0.8 

mean eCDF diff........    0.34941 	 	    0.39167 
med  eCDF diff........       0.38 	 	       0.45 
max  eCDF diff........       0.48 	 	        0.6 

var ratio (Tr/Co).....     2.4512 	 	     5.3128 
T-test p-value........   0.011232 	 	  0.0095911 
KS Bootstrap p-value..       0.04 	 	      0.036 
KS Naive p-value......   0.074398 	 	   0.054646 
KS Statistic..........       0.48 	 	        0.6 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.9883 
std mean diff.........    -104.96 	 	    -139.94 

mean raw eQQ diff.....     1.0691 	 	     1.5363 
med  raw eQQ diff.....    0.95821 	 	     1.5103 
max  raw eQQ diff.....     2.3128 	 	      2.298 

mean eCDF diff........    0.22625 	 	    0.29412 
med  eCDF diff........       0.23 	 	        0.3 
max  eCDF diff........        0.4 	 	        0.5 

var ratio (Tr/Co).....    0.69226 	 	    0.57509 
T-test p-value........   0.015659 	 	   0.013484 
KS Bootstrap p-value..      0.137 	 	      0.135 
KS Naive p-value......    0.20319 	 	    0.16408 
KS Statistic..........        0.4 	 	        0.5 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.26028 
std mean diff.........     40.098 	 	     16.386 

mean raw eQQ diff.....     0.1643 	 	    0.11701 
med  raw eQQ diff.....   0.066871 	 	   0.072552 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	   0.092308 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.2435 
T-test p-value........    0.25237 	 	    0.67568 
KS Bootstrap p-value..       0.51 	 	      0.946 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.37547 
std mean diff.........     46.479 	 	     11.053 

mean raw eQQ diff.....    0.13906 	 	   0.093065 
med  raw eQQ diff.....    0.13393 	 	   0.054433 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........      0.185 	 	    0.09375 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.2359 
T-test p-value........    0.21206 	 	    0.80637 
KS Bootstrap p-value..       0.06 	 	       0.68 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     3.1355 
std mean diff.........    -69.573 	 	    -117.23 

mean raw eQQ diff.....    0.63087 	 	    0.85399 
med  raw eQQ diff.....    0.50388 	 	     0.6208 
max  raw eQQ diff.....     1.8581 	 	     1.7756 

mean eCDF diff........    0.16353 	 	    0.16111 
med  eCDF diff........       0.16 	 	       0.15 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.20709 
T-test p-value........    0.17153 	 	    0.10562 
KS Bootstrap p-value..      0.336 	 	      0.373 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.22191 
std mean diff.........     36.192 	 	     16.864 

mean raw eQQ diff.....   0.073648 	 	   0.081289 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.12667 	 	        0.1 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4701 
T-test p-value........    0.32477 	 	    0.62235 
KS Bootstrap p-value..      0.462 	 	      0.638 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0095911 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1705   0.6051   0.4346           0.1910   1.5215  2.2752  *      
ave.log.duration.prev5          2.9883   1.4520   -1.5363          0.6982   -1.1958 -2.2005 *      
ave.outcome.prev5               0.2603   0.3277   0.0674           0.1574   0.1927  0.4283         
ForceUS.prop.prev10             0.3755   0.4019   0.0264           0.1049   0.1162  0.2516         
ave.log.duration.prev10         3.1355   2.5009   -0.6346          0.4059   -0.6867 -1.5634        
ave.outcome.prev10              0.2219   0.2565   0.0346           0.0687   0.1840  0.5035         
---Overall Test---
      chisquare df p.value
strat       8.5  6   0.204
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      2 
$p.values
ForceUS     NPC 
  0.962   0.962 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2111895 48.5473790  0.1370968 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2367308 40.8478114  0.1756777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 13.304940   1.149174   8.351310 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.817997   1.145244   1.301506 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs FALSE ***


Thu Apr 23 23:40:01 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.014671e-02  4.407634e-02  5.257908e-02  6.871101e-02  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.598700e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.120679e-01  4.175237e-01  4.370953e-01  4.902411e-01  5.817858e-01  6.075570e-01  6.080414e-01  6.256508e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.495691e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.239856e-02  4.407634e-02  5.257908e-02  6.871101e-02  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.598700e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.120679e-01  4.175237e-01  4.370953e-01  4.902411e-01  5.763846e-01  6.080414e-01  6.256508e-01  7.311027e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.513849e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.239856e-02  4.407634e-02  5.257908e-02  6.871101e-02  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.598700e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.120679e-01  4.175237e-01  4.370953e-01  4.902411e-01  5.763846e-01  6.080414e-01  6.256508e-01  7.311027e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.513849e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.572189e+02
 X[ 2] :	4.531506e+02
 X[ 3] :	4.493303e+02
 X[ 4] :	7.647936e+02
 X[ 5] :	5.329135e+02
 X[ 6] :	3.566012e+02
 X[ 7] :	1.190294e+02
 X[ 8] :	8.178413e+01
 X[ 9] :	3.960617e+02
 X[10] :	1.690888e+01
 X[11] :	7.250455e+01
 X[12] :	3.740263e+02
 X[13] :	7.537633e+02
 X[14] :	8.998380e+01
 X[15] :	4.257330e+02
 X[16] :	6.140147e+01
 X[17] :	7.188821e+02
 X[18] :	8.440549e+02

Solution Found Generation 2
Number of Generations Run 13

Fri Apr 24 00:03:15 2015
Total run time : 0 hours 23 minutes and 14 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Grant         7          6
2       Monroe         6          6       Fillmore         3          3
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7           Ford         4          4
10     Clinton        24         10          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.5 
std mean diff.........     -38.73 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	       0.05 
med  eCDF diff........        0.1 	 	       0.05 
max  eCDF diff........        0.2 	 	        0.1 

var ratio (Tr/Co).....     1.0667 	 	       0.96 
T-test p-value........    0.31164 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	       1910 
std mean diff.........     -45.24 	 	    -35.282 

mean raw eQQ diff.....         31 	 	       24.8 
med  raw eQQ diff.....         34 	 	         28 
max  raw eQQ diff.....         56 	 	         36 

mean eCDF diff........      0.176 	 	       0.15 
med  eCDF diff........       0.14 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.2702 
T-test p-value........    0.21717 	 	   0.042399 
KS Bootstrap p-value..      0.064 	 	      0.335 
KS Naive p-value......   0.074015 	 	    0.41752 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.3 
std mean diff.........    -45.544 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.11 	 	          0 
med  eCDF diff........       0.11 	 	          0 
max  eCDF diff........       0.22 	 	          0 

var ratio (Tr/Co).....    0.89744 	 	          1 
T-test p-value........    0.24695 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.8665 
std mean diff.........    -5.7886 	 	    -1.9649 

mean raw eQQ diff.....    0.12454 	 	    0.19624 
med  raw eQQ diff.....   0.078915 	 	   0.079924 
max  raw eQQ diff.....    0.51083 	 	    0.69315 

mean eCDF diff........   0.064762 	 	   0.069231 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.4182 
T-test p-value........    0.87448 	 	    0.95138 
KS Bootstrap p-value..      0.922 	 	      0.951 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.3 
std mean diff.........    -26.359 	 	    -11.251 

mean raw eQQ diff.....        1.8 	 	        1.1 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.069231 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     1.0386 	 	     1.0366 
T-test p-value........    0.48877 	 	     0.4371 
KS Bootstrap p-value..      0.496 	 	      0.938 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.0097 
std mean diff.........     7.3104 	 	      16.68 

mean raw eQQ diff.....     1.0461 	 	     1.3821 
med  raw eQQ diff.....    0.61465 	 	    0.96783 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.15714 
med  eCDF diff........       0.06 	 	       0.15 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.57829 
T-test p-value........    0.84878 	 	     0.7311 
KS Bootstrap p-value..      0.768 	 	       0.63 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.30041 
std mean diff.........     101.96 	 	     82.218 

mean raw eQQ diff.....    0.35772 	 	    0.30465 
med  raw eQQ diff.....    0.32143 	 	    0.26786 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.34941 	 	    0.23333 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.6071 
T-test p-value........   0.011232 	 	   0.044076 
KS Bootstrap p-value..      0.047 	 	       0.31 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5059 
std mean diff.........    -104.96 	 	    -95.998 

mean raw eQQ diff.....     1.0691 	 	     1.0539 
med  raw eQQ diff.....    0.95821 	 	    0.96215 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.22625 	 	    0.21176 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.56813 
T-test p-value........   0.015659 	 	   0.068711 
KS Bootstrap p-value..      0.149 	 	      0.342 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.22095 
std mean diff.........     40.098 	 	     25.944 

mean raw eQQ diff.....     0.1643 	 	    0.10675 
med  raw eQQ diff.....   0.066871 	 	   0.011905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	       0.08 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3419 
T-test p-value........    0.25237 	 	    0.49024 
KS Bootstrap p-value..       0.49 	 	      0.888 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.34963 
std mean diff.........     46.479 	 	     21.873 

mean raw eQQ diff.....    0.13906 	 	   0.077366 
med  raw eQQ diff.....    0.13393 	 	   0.051961 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........      0.185 	 	   0.094118 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.8104 
T-test p-value........    0.21206 	 	    0.35987 
KS Bootstrap p-value..      0.055 	 	      0.684 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.7479 
std mean diff.........    -69.573 	 	    -45.612 

mean raw eQQ diff.....    0.63087 	 	    0.53251 
med  raw eQQ diff.....    0.50388 	 	    0.43123 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16353 	 	    0.16842 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.30242 
T-test p-value........    0.17153 	 	    0.41207 
KS Bootstrap p-value..      0.355 	 	      0.332 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.23438 
std mean diff.........     36.192 	 	     10.791 

mean raw eQQ diff.....   0.073648 	 	   0.076722 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.11429 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4549 
T-test p-value........    0.32477 	 	    0.62565 
KS Bootstrap p-value..      0.467 	 	      0.643 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.9387 
std mean diff.........    -49.712 	 	    -38.761 

mean raw eQQ diff.....    0.82964 	 	    0.90668 
med  raw eQQ diff.....          0 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........      0.126 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....    0.89235 	 	     1.0194 
T-test p-value........    0.20832 	 	   0.052579 
KS Bootstrap p-value..      0.038 	 	      0.233 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     34.626 
std mean diff.........    -30.637 	 	    -12.238 

mean raw eQQ diff.....     6.4409 	 	     5.9712 
med  raw eQQ diff.....     3.6477 	 	     5.2898 
max  raw eQQ diff.....     19.042 	 	     15.571 

mean eCDF diff........       0.09 	 	   0.094444 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.3 

var ratio (Tr/Co).....     1.0585 	 	     1.1513 
T-test p-value........    0.42114 	 	    0.57638 
KS Bootstrap p-value..      0.386 	 	      0.682 
KS Naive p-value......    0.54124 	 	     0.7591 
KS Statistic..........        0.3 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.3 
std mean diff.........     23.238 	 	     19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.06 	 	       0.05 
med  eCDF diff........       0.06 	 	       0.05 
max  eCDF diff........       0.12 	 	        0.1 

var ratio (Tr/Co).....     1.2698 	 	     1.1429 
T-test p-value........    0.53131 	 	    0.31932 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       16.8 
std mean diff.........    -7.4033 	 	    -6.0573 

mean raw eQQ diff.....        3.4 	 	        2.1 
med  raw eQQ diff.....          3 	 	          1 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........       0.07 	 	   0.053333 
med  eCDF diff........       0.05 	 	          0 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	    0.81712 
T-test p-value........    0.84077 	 	    0.60804 
KS Bootstrap p-value..      0.715 	 	      0.949 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.042399 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.30041 
std mean diff.........     101.96 	 	     82.218 

mean raw eQQ diff.....    0.35772 	 	    0.30465 
med  raw eQQ diff.....    0.32143 	 	    0.26786 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.34941 	 	    0.23333 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.6071 
T-test p-value........   0.011232 	 	   0.044076 
KS Bootstrap p-value..       0.04 	 	      0.313 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5059 
std mean diff.........    -104.96 	 	    -95.998 

mean raw eQQ diff.....     1.0691 	 	     1.0539 
med  raw eQQ diff.....    0.95821 	 	    0.96215 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.22625 	 	    0.21176 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.56813 
T-test p-value........   0.015659 	 	   0.068711 
KS Bootstrap p-value..      0.137 	 	      0.346 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.22095 
std mean diff.........     40.098 	 	     25.944 

mean raw eQQ diff.....     0.1643 	 	    0.10675 
med  raw eQQ diff.....   0.066871 	 	   0.011905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	       0.08 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3419 
T-test p-value........    0.25237 	 	    0.49024 
KS Bootstrap p-value..       0.51 	 	      0.894 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.34963 
std mean diff.........     46.479 	 	     21.873 

mean raw eQQ diff.....    0.13906 	 	   0.077366 
med  raw eQQ diff.....    0.13393 	 	   0.051961 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........      0.185 	 	   0.094118 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.8104 
T-test p-value........    0.21206 	 	    0.35987 
KS Bootstrap p-value..       0.06 	 	      0.685 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.7479 
std mean diff.........    -69.573 	 	    -45.612 

mean raw eQQ diff.....    0.63087 	 	    0.53251 
med  raw eQQ diff.....    0.50388 	 	    0.43123 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16353 	 	    0.16842 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.30242 
T-test p-value........    0.17153 	 	    0.41207 
KS Bootstrap p-value..      0.336 	 	      0.328 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.23438 
std mean diff.........     36.192 	 	     10.791 

mean raw eQQ diff.....   0.073648 	 	   0.076722 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.11429 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4549 
T-test p-value........    0.32477 	 	    0.62565 
KS Bootstrap p-value..      0.462 	 	      0.676 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.044076 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3004   0.6051   0.3047           0.1620   0.9885  1.8806  .      
ave.log.duration.prev5          2.5059   1.4520   -1.0539          0.6092   -0.8172 -1.7301 .      
ave.outcome.prev5               0.2210   0.3277   0.1068           0.1522   0.3071  0.7013         
ForceUS.prop.prev10             0.3496   0.4019   0.0522           0.0566   0.2483  0.9228         
ave.log.duration.prev10         2.7479   2.5009   -0.2469          0.2975   -0.3108 -0.8299        
ave.outcome.prev10              0.2344   0.2565   0.0221           0.0444   0.1175  0.4987         
---Overall Test---
      chisquare df p.value
strat      6.06  6   0.417
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     18 
$p.values
ForceUS     NPC 
  0.316   0.316 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1922554 32.2486413  0.1413043 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2750641 47.4753114  0.2715110 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 10.574049   1.890377   7.360734 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7019787  0.7625187  1.5712521 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs TRUE ***


Fri Apr 24 01:22:44 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.328072e-02  4.702473e-02  6.181646e-02  7.182343e-02  1.193686e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.255049e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.193413e-01  5.879189e-01  6.080414e-01  6.256508e-01  6.437149e-01  6.741456e-01  7.442543e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.511609e-02  4.528738e-02  4.913002e-02  1.420227e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  2.308478e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.286128e-01  5.695160e-01  6.717175e-01  6.755169e-01  6.970227e-01  7.153018e-01  7.440485e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.891150e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	4.628648e-02  5.147585e-02  8.650308e-02  1.647805e-01  2.335033e-01  2.355341e-01  2.802496e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.285402e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.953859e-01  6.151882e-01  6.711477e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.190762e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.964463e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	4.834636e-02  5.448190e-02  5.938852e-02  1.040900e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  2.293033e-01  3.259592e-01  3.388075e-01  3.823858e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.974882e-01  6.943666e-01  7.590978e-01  7.590978e-01  7.697783e-01  9.389112e-01  9.508342e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.834636e-02  5.448190e-02  5.938852e-02  1.040900e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  2.293033e-01  3.259592e-01  3.388075e-01  3.823858e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.974882e-01  6.943666e-01  7.590978e-01  7.590978e-01  7.697783e-01  9.389112e-01  9.508342e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.007256e+02
 X[ 2] :	5.154959e+02
 X[ 3] :	7.292350e+01
 X[ 4] :	8.376006e+02
 X[ 5] :	8.058723e+02
 X[ 6] :	8.447113e+02
 X[ 7] :	3.478377e+02
 X[ 8] :	4.868884e+02
 X[ 9] :	7.640708e+00
 X[10] :	3.476484e+02
 X[11] :	2.801316e+02
 X[12] :	9.166789e+01
 X[13] :	8.007760e+02
 X[14] :	1.257672e+02
 X[15] :	7.348896e+02
 X[16] :	8.050909e+02
 X[17] :	7.035117e+02
 X[18] :	6.238354e+02

Solution Found Generation 3
Number of Generations Run 14

Fri Apr 24 01:45:30 2015
Total run time : 0 hours 22 minutes and 46 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.6 
std mean diff.........     -38.73 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	        0.1 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1911.2 
std mean diff.........     -45.24 	 	    -36.989 

mean raw eQQ diff.....         31 	 	         27 
med  raw eQQ diff.....         34 	 	         24 
max  raw eQQ diff.....         56 	 	         68 

mean eCDF diff........      0.176 	 	       0.15 
med  eCDF diff........       0.14 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.3823 
T-test p-value........    0.21717 	 	   0.054482 
KS Bootstrap p-value..      0.064 	 	      0.324 
KS Naive p-value......   0.074015 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.3 
std mean diff.........    -45.544 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.11 	 	          0 
med  eCDF diff........       0.11 	 	          0 
max  eCDF diff........       0.22 	 	          0 

var ratio (Tr/Co).....    0.89744 	 	          1 
T-test p-value........    0.24695 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.8661 
std mean diff.........    -5.7886 	 	    -1.9376 

mean raw eQQ diff.....    0.12454 	 	    0.28911 
med  raw eQQ diff.....   0.078915 	 	    0.29309 
max  raw eQQ diff.....    0.51083 	 	    0.69315 

mean eCDF diff........   0.064762 	 	   0.076923 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.5408 
T-test p-value........    0.87448 	 	    0.93891 
KS Bootstrap p-value..      0.922 	 	      0.941 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.3 
std mean diff.........    -26.359 	 	    -11.251 

mean raw eQQ diff.....        1.8 	 	        1.1 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.069231 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     1.0386 	 	     1.0066 
T-test p-value........    0.48877 	 	    0.38239 
KS Bootstrap p-value..      0.496 	 	      0.956 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.3591 
std mean diff.........     7.3104 	 	     2.3379 

mean raw eQQ diff.....     1.0461 	 	     1.8541 
med  raw eQQ diff.....    0.61465 	 	     1.2115 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.15385 
med  eCDF diff........       0.06 	 	        0.2 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.39591 
T-test p-value........    0.84878 	 	    0.95083 
KS Bootstrap p-value..      0.768 	 	      0.613 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.34113 
std mean diff.........     101.96 	 	      71.23 

mean raw eQQ diff.....    0.35772 	 	    0.26394 
med  raw eQQ diff.....    0.32143 	 	    0.23636 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.18182 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.6582 
T-test p-value........   0.011232 	 	   0.048346 
KS Bootstrap p-value..      0.047 	 	      0.283 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	      2.685 
std mean diff.........    -104.96 	 	    -112.31 

mean raw eQQ diff.....     1.0691 	 	      1.233 
med  raw eQQ diff.....    0.95821 	 	     1.1899 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.22625 	 	    0.23125 
med  eCDF diff........       0.23 	 	       0.25 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.80105 
T-test p-value........   0.015659 	 	   0.059389 
KS Bootstrap p-value..      0.149 	 	      0.327 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.12048 
std mean diff.........     40.098 	 	     50.363 

mean raw eQQ diff.....     0.1643 	 	    0.20723 
med  raw eQQ diff.....   0.066871 	 	    0.13853 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	    0.21111 
med  eCDF diff........       0.08 	 	        0.2 
max  eCDF diff........       0.26 	 	        0.4 

var ratio (Tr/Co).....     3.9942 	 	     2.8425 
T-test p-value........    0.25237 	 	    0.10409 
KS Bootstrap p-value..       0.49 	 	      0.248 
KS Naive p-value......    0.71974 	 	    0.40047 
KS Statistic..........       0.26 	 	        0.4 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38354 
std mean diff.........     46.479 	 	     7.6757 

mean raw eQQ diff.....    0.13906 	 	   0.080391 
med  raw eQQ diff.....    0.13393 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........      0.185 	 	   0.073333 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.5282 
T-test p-value........    0.21206 	 	    0.76978 
KS Bootstrap p-value..      0.055 	 	      0.967 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	      2.861 
std mean diff.........    -69.573 	 	    -66.506 

mean raw eQQ diff.....    0.63087 	 	    0.53552 
med  raw eQQ diff.....    0.50388 	 	    0.37751 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16353 	 	    0.16471 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.33806 
T-test p-value........    0.17153 	 	     0.2293 
KS Bootstrap p-value..      0.355 	 	      0.331 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21414 
std mean diff.........     36.192 	 	     20.652 

mean raw eQQ diff.....   0.073648 	 	   0.082855 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.13077 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.2544 
T-test p-value........    0.32477 	 	    0.32596 
KS Bootstrap p-value..      0.467 	 	      0.644 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -3.5983 
std mean diff.........    -49.712 	 	    -10.565 

mean raw eQQ diff.....    0.82964 	 	    0.82456 
med  raw eQQ diff.....          0 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     2.8871 

mean eCDF diff........      0.126 	 	   0.077778 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....    0.89235 	 	     2.6531 
T-test p-value........    0.20832 	 	    0.69437 
KS Bootstrap p-value..      0.038 	 	      0.224 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     33.716 
std mean diff.........    -30.637 	 	    -7.5741 

mean raw eQQ diff.....     6.4409 	 	     3.4941 
med  raw eQQ diff.....     3.6477 	 	     3.1667 
max  raw eQQ diff.....     19.042 	 	          6 

mean eCDF diff........       0.09 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.2 

var ratio (Tr/Co).....     1.0585 	 	    0.84373 
T-test p-value........    0.42114 	 	    0.59749 
KS Bootstrap p-value..      0.386 	 	      0.957 
KS Naive p-value......    0.54124 	 	    0.98826 
KS Statistic..........        0.3 	 	        0.2 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.2 
std mean diff.........     23.238 	 	      38.73 

mean raw eQQ diff.....        0.1 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.06 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.12 	 	        0.2 

var ratio (Tr/Co).....     1.2698 	 	        1.5 
T-test p-value........    0.53131 	 	     0.1483 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       14.4 
std mean diff.........    -7.4033 	 	     10.095 

mean raw eQQ diff.....        3.4 	 	        2.7 
med  raw eQQ diff.....          3 	 	        2.5 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........       0.07 	 	   0.085714 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.2733 
T-test p-value........    0.84077 	 	    0.33881 
KS Bootstrap p-value..      0.715 	 	      0.955 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.048346 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.34113 
std mean diff.........     101.96 	 	      71.23 

mean raw eQQ diff.....    0.35772 	 	    0.26394 
med  raw eQQ diff.....    0.32143 	 	    0.23636 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.18182 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.6582 
T-test p-value........   0.011232 	 	   0.048346 
KS Bootstrap p-value..       0.04 	 	      0.314 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	      2.685 
std mean diff.........    -104.96 	 	    -112.31 

mean raw eQQ diff.....     1.0691 	 	      1.233 
med  raw eQQ diff.....    0.95821 	 	     1.1899 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.22625 	 	    0.23125 
med  eCDF diff........       0.23 	 	       0.25 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.80105 
T-test p-value........   0.015659 	 	   0.059389 
KS Bootstrap p-value..      0.137 	 	       0.33 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.12048 
std mean diff.........     40.098 	 	     50.363 

mean raw eQQ diff.....     0.1643 	 	    0.20723 
med  raw eQQ diff.....   0.066871 	 	    0.13853 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	    0.21111 
med  eCDF diff........       0.08 	 	        0.2 
max  eCDF diff........       0.26 	 	        0.4 

var ratio (Tr/Co).....     3.9942 	 	     2.8425 
T-test p-value........    0.25237 	 	    0.10409 
KS Bootstrap p-value..       0.51 	 	       0.25 
KS Naive p-value......    0.71974 	 	    0.40047 
KS Statistic..........       0.26 	 	        0.4 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38354 
std mean diff.........     46.479 	 	     7.6757 

mean raw eQQ diff.....    0.13906 	 	   0.080391 
med  raw eQQ diff.....    0.13393 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........      0.185 	 	   0.073333 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.5282 
T-test p-value........    0.21206 	 	    0.76978 
KS Bootstrap p-value..       0.06 	 	      0.962 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	      2.861 
std mean diff.........    -69.573 	 	    -66.506 

mean raw eQQ diff.....    0.63087 	 	    0.53552 
med  raw eQQ diff.....    0.50388 	 	    0.37751 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16353 	 	    0.16471 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.33806 
T-test p-value........    0.17153 	 	     0.2293 
KS Bootstrap p-value..      0.336 	 	      0.364 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21414 
std mean diff.........     36.192 	 	     20.652 

mean raw eQQ diff.....   0.073648 	 	   0.082855 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.13077 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.2544 
T-test p-value........    0.32477 	 	    0.32596 
KS Bootstrap p-value..      0.462 	 	      0.671 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.048346 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3411   0.6051   0.2639           0.1426   0.8587  1.8509  .      
ave.log.duration.prev5          2.6850   1.4520   -1.2330          0.6920   -1.0592 -1.7817 .      
ave.outcome.prev5               0.1205   0.3277   0.2072           0.1320   0.6126  1.5695         
ForceUS.prop.prev10             0.3835   0.4019   0.0183           0.0610   0.0844  0.3003         
ave.log.duration.prev10         2.8610   2.5009   -0.3600          0.3015   -0.4728 -1.1942        
ave.outcome.prev10              0.2141   0.2565   0.0424           0.0429   0.2179  0.9870         
---Overall Test---
      chisquare df p.value
strat      4.57  6   0.601
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     14 
$p.values
ForceUS     NPC 
  0.624   0.624 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  0.213125   8.991250   0.130000 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2908974 24.1619780  0.2423443 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
12.1481250  0.8236444  6.7687500 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
409.2238331   0.3337568   1.2852889 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs FALSE ***


Fri Apr 24 03:10:47 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.332509e-02  3.890865e-02  4.969411e-02  6.834226e-02  6.834226e-02  1.204885e-01  1.483047e-01  1.483047e-01  1.616190e-01  2.154113e-01  2.856650e-01  2.884518e-01  3.160439e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  6.835111e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.322826e-01  9.228814e-01  9.412396e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.449505e-02  5.796096e-02  6.729427e-02  8.889793e-02  8.889793e-02  9.211876e-02  1.573386e-01  2.919525e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.887329e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.493874e-01  5.211365e-01  5.234289e-01  5.286528e-01  6.080414e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.221887e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	3.763514e-02  4.280970e-02  4.280970e-02  4.476673e-02  5.082877e-02  6.613507e-02  1.483047e-01  1.483047e-01  1.640792e-01  2.330838e-01  2.375816e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.091038e-01  4.175237e-01  4.495245e-01  4.871699e-01  6.818734e-01  7.590978e-01  7.629539e-01  8.495851e-01  9.628019e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.763514e-02  4.280970e-02  4.280970e-02  4.476673e-02  5.082877e-02  6.613507e-02  1.483047e-01  1.483047e-01  1.640792e-01  2.330838e-01  2.375816e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.091038e-01  4.175237e-01  4.495245e-01  4.871699e-01  6.818734e-01  7.590978e-01  7.629539e-01  8.495851e-01  9.628019e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.078845e+02
 X[ 2] :	3.256436e+02
 X[ 3] :	2.726158e+02
 X[ 4] :	4.704090e+02
 X[ 5] :	3.579325e+02
 X[ 6] :	5.857629e+02
 X[ 7] :	2.992707e+02
 X[ 8] :	2.216369e+02
 X[ 9] :	7.711918e+01
 X[10] :	2.912578e+02
 X[11] :	3.519548e+02
 X[12] :	3.087907e+02
 X[13] :	2.078722e+02
 X[14] :	2.677152e+02
 X[15] :	7.098782e+02
 X[16] :	8.456364e+02
 X[17] :	8.609164e+02
 X[18] :	1.877241e+02
 X[19] :	9.360170e+01
 X[20] :	3.611709e+01

Solution Found Generation 3
Number of Generations Run 14

Fri Apr 24 03:33:26 2015
Total run time : 0 hours 22 minutes and 39 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1       Harding         1          1
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.6 
std mean diff.........     -38.73 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	        0.1 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1913.6 
std mean diff.........     -45.24 	 	    -40.403 

mean raw eQQ diff.....         31 	 	       29.4 
med  raw eQQ diff.....         34 	 	       30.5 
max  raw eQQ diff.....         56 	 	         56 

mean eCDF diff........      0.176 	 	       0.17 
med  eCDF diff........       0.14 	 	       0.15 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.5575 
T-test p-value........    0.21717 	 	   0.037635 
KS Bootstrap p-value..      0.064 	 	       0.34 
KS Naive p-value......   0.074015 	 	    0.41752 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.4 
std mean diff.........    -45.544 	 	    -20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.11 	 	       0.05 
med  eCDF diff........       0.11 	 	       0.05 
max  eCDF diff........       0.22 	 	        0.1 

var ratio (Tr/Co).....    0.89744 	 	      0.875 
T-test p-value........    0.24695 	 	    0.31932 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.7112 
std mean diff.........    -5.7886 	 	     10.257 

mean raw eQQ diff.....    0.12454 	 	    0.32644 
med  raw eQQ diff.....   0.078915 	 	    0.29309 
max  raw eQQ diff.....    0.51083 	 	    0.78846 

mean eCDF diff........   0.064762 	 	   0.084615 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.5761 
T-test p-value........    0.87448 	 	    0.76295 
KS Bootstrap p-value..      0.922 	 	      0.961 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.6 
std mean diff.........    -26.359 	 	    -16.072 

mean raw eQQ diff.....        1.8 	 	        1.4 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          4 

mean eCDF diff........      0.096 	 	   0.083333 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     1.0386 	 	          1 
T-test p-value........    0.48877 	 	    0.44952 
KS Bootstrap p-value..      0.496 	 	      0.936 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     4.7348 
std mean diff.........     7.3104 	 	     27.965 

mean raw eQQ diff.....     1.0461 	 	     1.6569 
med  raw eQQ diff.....    0.61465 	 	     1.4045 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.21875 
med  eCDF diff........       0.06 	 	        0.2 
max  eCDF diff........        0.2 	 	        0.5 

var ratio (Tr/Co).....    0.93878 	 	    0.52878 
T-test p-value........    0.84878 	 	     0.4091 
KS Bootstrap p-value..      0.768 	 	      0.137 
KS Naive p-value......     0.9375 	 	    0.16408 
KS Statistic..........        0.2 	 	        0.5 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.34632 
std mean diff.........     101.96 	 	     69.828 

mean raw eQQ diff.....    0.35772 	 	    0.25874 
med  raw eQQ diff.....    0.32143 	 	    0.23636 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.21667 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.3715 
T-test p-value........   0.011232 	 	   0.066135 
KS Bootstrap p-value..      0.047 	 	        0.3 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.6936 
std mean diff.........    -104.96 	 	     -113.1 

mean raw eQQ diff.....     1.0691 	 	     1.2416 
med  raw eQQ diff.....    0.95821 	 	     1.2204 
max  raw eQQ diff.....     2.3128 	 	      2.298 

mean eCDF diff........    0.22625 	 	        0.2 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.42491 
T-test p-value........   0.015659 	 	   0.050829 
KS Bootstrap p-value..      0.149 	 	      0.349 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.22004 
std mean diff.........     40.098 	 	     26.165 

mean raw eQQ diff.....     0.1643 	 	    0.11766 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	        0.1 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3701 
T-test p-value........    0.25237 	 	    0.48717 
KS Bootstrap p-value..       0.49 	 	      0.907 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38911 
std mean diff.........     46.479 	 	     5.3406 

mean raw eQQ diff.....    0.13906 	 	   0.088148 
med  raw eQQ diff.....    0.13393 	 	   0.049784 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	   0.088235 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.2469 
T-test p-value........    0.21206 	 	    0.84959 
KS Bootstrap p-value..      0.055 	 	      0.968 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.8956 
std mean diff.........    -69.573 	 	    -72.913 

mean raw eQQ diff.....    0.63087 	 	     0.6878 
med  raw eQQ diff.....    0.50388 	 	    0.52897 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	    0.17895 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.22686 
T-test p-value........    0.17153 	 	    0.23758 
KS Bootstrap p-value..      0.355 	 	      0.312 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	     0.2376 
std mean diff.........     36.192 	 	     9.2189 

mean raw eQQ diff.....   0.073648 	 	   0.088496 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.13571 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4217 
T-test p-value........    0.32477 	 	    0.68187 
KS Bootstrap p-value..      0.467 	 	      0.649 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.8905 
std mean diff.........    -49.712 	 	    -40.823 

mean raw eQQ diff.....    0.82964 	 	     0.9549 
med  raw eQQ diff.....          0 	 	    0.30346 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........      0.126 	 	        0.1 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....    0.89235 	 	      1.004 
T-test p-value........    0.20832 	 	   0.044767 
KS Bootstrap p-value..      0.038 	 	      0.238 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     36.139 
std mean diff.........    -30.637 	 	    -19.981 

mean raw eQQ diff.....     6.4409 	 	     5.1993 
med  raw eQQ diff.....     3.6477 	 	     5.3243 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	   0.088889 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.2 

var ratio (Tr/Co).....     1.0585 	 	    0.85803 
T-test p-value........    0.42114 	 	    0.23308 
KS Bootstrap p-value..      0.386 	 	      0.962 
KS Naive p-value......    0.54124 	 	    0.98826 
KS Statistic..........        0.3 	 	        0.2 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.4 
std mean diff.........     23.238 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.06 	 	          0 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.12 	 	          0 

var ratio (Tr/Co).....     1.2698 	 	          1 
T-test p-value........    0.53131 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	         16 
std mean diff.........    -7.4033 	 	   -0.67303 

mean raw eQQ diff.....        3.4 	 	        2.5 
med  raw eQQ diff.....          3 	 	          1 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........       0.07 	 	   0.066667 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.3407 
T-test p-value........    0.84077 	 	     0.9628 
KS Bootstrap p-value..      0.715 	 	      0.965 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.4 
std mean diff.........     183.41 	 	     158.11 

mean raw eQQ diff.....        0.6 	 	        0.5 
med  raw eQQ diff.....          1 	 	        0.5 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	       0.25 
med  eCDF diff........       0.29 	 	       0.25 
max  eCDF diff........       0.58 	 	        0.5 

var ratio (Tr/Co).....    0.44118 	 	      0.375 
T-test p-value........ 0.00029552 	 	    0.04281 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	        0.1 
std mean diff.........     18.974 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....        2.5 	 	          1 
T-test p-value........    0.58771 	 	          1 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.037635 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.34632 
std mean diff.........     101.96 	 	     69.828 

mean raw eQQ diff.....    0.35772 	 	    0.25874 
med  raw eQQ diff.....    0.32143 	 	    0.23636 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.21667 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.3715 
T-test p-value........   0.011232 	 	   0.066135 
KS Bootstrap p-value..       0.04 	 	      0.314 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.6936 
std mean diff.........    -104.96 	 	     -113.1 

mean raw eQQ diff.....     1.0691 	 	     1.2416 
med  raw eQQ diff.....    0.95821 	 	     1.2204 
max  raw eQQ diff.....     2.3128 	 	      2.298 

mean eCDF diff........    0.22625 	 	        0.2 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.4 

var ratio (Tr/Co).....    0.69226 	 	    0.42491 
T-test p-value........   0.015659 	 	   0.050829 
KS Bootstrap p-value..      0.137 	 	      0.355 
KS Naive p-value......    0.20319 	 	    0.40047 
KS Statistic..........        0.4 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.22004 
std mean diff.........     40.098 	 	     26.165 

mean raw eQQ diff.....     0.1643 	 	    0.11766 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	        0.1 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3701 
T-test p-value........    0.25237 	 	    0.48717 
KS Bootstrap p-value..       0.51 	 	      0.928 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38911 
std mean diff.........     46.479 	 	     5.3406 

mean raw eQQ diff.....    0.13906 	 	   0.088148 
med  raw eQQ diff.....    0.13393 	 	   0.049784 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	   0.088235 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.2469 
T-test p-value........    0.21206 	 	    0.84959 
KS Bootstrap p-value..       0.06 	 	      0.957 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.8956 
std mean diff.........    -69.573 	 	    -72.913 

mean raw eQQ diff.....    0.63087 	 	     0.6878 
med  raw eQQ diff.....    0.50388 	 	    0.52897 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	    0.17895 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.22686 
T-test p-value........    0.17153 	 	    0.23758 
KS Bootstrap p-value..      0.336 	 	       0.37 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	     0.2376 
std mean diff.........     36.192 	 	     9.2189 

mean raw eQQ diff.....   0.073648 	 	   0.088496 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.13571 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4217 
T-test p-value........    0.32477 	 	    0.68187 
KS Bootstrap p-value..      0.462 	 	      0.678 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.050829 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3463   0.6051   0.2587           0.1484   0.7510  1.7439  .      
ave.log.duration.prev5          2.6936   1.4520   -1.2416          0.6768   -0.8734 -1.8344 .      
ave.outcome.prev5               0.2200   0.3277   0.1077           0.1525   0.3103  0.7062         
ForceUS.prop.prev10             0.3891   0.4019   0.0128           0.0655   0.0563  0.1948         
ave.log.duration.prev10         2.8956   2.5009   -0.3947          0.3360   -0.4434 -1.1747        
ave.outcome.prev10              0.2376   0.2565   0.0189           0.0451   0.0999  0.4198         
---Overall Test---
      chisquare df p.value
strat      8.81  6   0.184
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     24 
$p.values
ForceUS     NPC 
  0.187   0.187 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  0.228125  26.681250   0.100000 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3350641 48.0486447  0.2381777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 11.862500   1.468516   5.118750 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.8938236  0.5835676  1.1981686 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs TRUE ***


Fri Apr 24 05:02:18 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.127929e-02  5.116619e-02  6.865087e-02  7.318759e-02  8.724596e-02  1.159734e-01  1.447726e-01  1.640792e-01  1.640792e-01  2.888095e-01  3.099107e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  6.424433e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.765043e-01  9.573479e-01  9.628019e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.071902e-02  5.817601e-02  5.828670e-02  6.834226e-02  6.834226e-02  1.070847e-01  1.369041e-01  1.483047e-01  1.483047e-01  1.610759e-01  1.640792e-01  1.741052e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.525581e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.201553e-01  7.061414e-01  7.224890e-01  7.371706e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.859695e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	5.600185e-02  6.452685e-02  8.466046e-02  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  2.039905e-01  2.216518e-01  2.226874e-01  2.739721e-01  3.193156e-01  3.193156e-01  3.691388e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.168578e-01  7.015541e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.512099e-01  9.665807e-01  9.797683e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.600185e-02  6.452685e-02  8.466046e-02  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  2.039905e-01  2.216518e-01  2.226874e-01  2.739721e-01  3.193156e-01  3.193156e-01  3.691388e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.168578e-01  7.015541e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.512099e-01  9.665807e-01  9.797683e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.058912e+02
 X[ 2] :	4.447168e+02
 X[ 3] :	8.243779e+01
 X[ 4] :	7.380020e+02
 X[ 5] :	7.700384e+02
 X[ 6] :	5.268834e+01
 X[ 7] :	2.184548e+02
 X[ 8] :	9.461468e+02
 X[ 9] :	2.825110e+01
 X[10] :	7.054494e+01
 X[11] :	7.194094e+02
 X[12] :	1.199008e+02
 X[13] :	3.093028e+01
 X[14] :	4.179597e+02
 X[15] :	8.039807e+01
 X[16] :	3.449341e+02
 X[17] :	7.765580e+02
 X[18] :	3.650798e+02
 X[19] :	6.788331e+02
 X[20] :	6.396603e+01

Solution Found Generation 7
Number of Generations Run 18

Fri Apr 24 05:33:10 2015
Total run time : 0 hours 30 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Harding         1          1
2       Monroe         6          6     Van Buren         4          4
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2         Grant         7          6
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.6 
std mean diff.........     -38.73 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	        0.1 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1913.1 
std mean diff.........     -45.24 	 	    -39.692 

mean raw eQQ diff.....         31 	 	       28.9 
med  raw eQQ diff.....         34 	 	         24 
max  raw eQQ diff.....         56 	 	         76 

mean eCDF diff........      0.176 	 	       0.15 
med  eCDF diff........       0.14 	 	       0.15 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.8377 	 	     1.3587 
T-test p-value........    0.21717 	 	   0.064527 
KS Bootstrap p-value..      0.064 	 	      0.673 
KS Naive p-value......   0.074015 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.5 
std mean diff.........    -45.544 	 	    -41.404 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.11 	 	        0.1 
med  eCDF diff........       0.11 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....    0.89744 	 	       0.84 
T-test p-value........    0.24695 	 	     0.1483 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     2.0005 
std mean diff.........    -5.7886 	 	    -12.517 

mean raw eQQ diff.....    0.12454 	 	    0.26981 
med  raw eQQ diff.....   0.078915 	 	    0.22401 
max  raw eQQ diff.....    0.51083 	 	    0.69315 

mean eCDF diff........   0.064762 	 	   0.076923 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.4318 
T-test p-value........    0.87448 	 	    0.70155 
KS Bootstrap p-value..      0.922 	 	      0.938 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        8.1 
std mean diff.........    -26.359 	 	    -24.109 

mean raw eQQ diff.....        1.8 	 	        1.7 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          8 	 	          4 

mean eCDF diff........      0.096 	 	    0.11667 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     1.0386 	 	     1.0857 
T-test p-value........    0.48877 	 	    0.22165 
KS Bootstrap p-value..      0.496 	 	      0.609 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.3884 
std mean diff.........     7.3104 	 	     1.1352 

mean raw eQQ diff.....     1.0461 	 	     1.8248 
med  raw eQQ diff.....    0.61465 	 	     1.3114 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.15385 
med  eCDF diff........       0.06 	 	        0.2 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.38497 
T-test p-value........    0.84878 	 	    0.97977 
KS Bootstrap p-value..      0.768 	 	      0.611 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.40465 
std mean diff.........     101.96 	 	     54.085 

mean raw eQQ diff.....    0.35772 	 	    0.20041 
med  raw eQQ diff.....    0.32143 	 	    0.13095 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.13846 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.9413 
T-test p-value........   0.011232 	 	   0.056002 
KS Bootstrap p-value..      0.047 	 	      0.301 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.7024 
std mean diff.........    -104.96 	 	     -113.9 

mean raw eQQ diff.....     1.0691 	 	     1.2505 
med  raw eQQ diff.....    0.95821 	 	     1.3195 
max  raw eQQ diff.....     2.3128 	 	      2.227 

mean eCDF diff........    0.22625 	 	    0.18125 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	    0.61498 
T-test p-value........   0.015659 	 	    0.08466 
KS Bootstrap p-value..      0.149 	 	      0.654 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.14504 
std mean diff.........     40.098 	 	     44.393 

mean raw eQQ diff.....     0.1643 	 	    0.18266 
med  raw eQQ diff.....   0.066871 	 	   0.077814 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	       0.16 
med  eCDF diff........       0.08 	 	        0.2 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     4.3015 
T-test p-value........    0.25237 	 	    0.22269 
KS Bootstrap p-value..       0.49 	 	      0.548 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38995 
std mean diff.........     46.479 	 	     4.9917 

mean raw eQQ diff.....    0.13906 	 	   0.073981 
med  raw eQQ diff.....    0.13393 	 	    0.04881 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	      0.075 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.4874 
T-test p-value........    0.21206 	 	    0.85121 
KS Bootstrap p-value..      0.055 	 	       0.97 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.9143 
std mean diff.........    -69.573 	 	    -76.351 

mean raw eQQ diff.....    0.63087 	 	    0.73269 
med  raw eQQ diff.....    0.50388 	 	    0.57814 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	        0.2 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.22654 
T-test p-value........    0.17153 	 	    0.27397 
KS Bootstrap p-value..      0.355 	 	      0.337 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21816 
std mean diff.........     36.192 	 	     18.695 

mean raw eQQ diff.....   0.073648 	 	    0.08294 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.12667 	 	    0.10714 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4293 
T-test p-value........    0.32477 	 	    0.51686 
KS Bootstrap p-value..      0.467 	 	      0.668 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.9517 
std mean diff.........    -49.712 	 	    -38.205 

mean raw eQQ diff.....    0.82964 	 	    0.89367 
med  raw eQQ diff.....          0 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........      0.126 	 	    0.12222 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....    0.89235 	 	     1.7016 
T-test p-value........    0.20832 	 	    0.20399 
KS Bootstrap p-value..      0.038 	 	      0.218 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     35.468 
std mean diff.........    -30.637 	 	    -16.549 

mean raw eQQ diff.....     6.4409 	 	     5.6002 
med  raw eQQ diff.....     3.6477 	 	      5.472 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.2 

var ratio (Tr/Co).....     1.0585 	 	    0.83604 
T-test p-value........    0.42114 	 	    0.36914 
KS Bootstrap p-value..      0.386 	 	      0.957 
KS Naive p-value......    0.54124 	 	    0.98826 
KS Statistic..........        0.3 	 	        0.2 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.4 
std mean diff.........     23.238 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.06 	 	          0 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.12 	 	          0 

var ratio (Tr/Co).....     1.2698 	 	          1 
T-test p-value........    0.53131 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       15.8 
std mean diff.........    -7.4033 	 	    0.67303 

mean raw eQQ diff.....        3.4 	 	        2.9 
med  raw eQQ diff.....          3 	 	        2.5 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........       0.07 	 	   0.073333 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.3024 
T-test p-value........    0.84077 	 	    0.96658 
KS Bootstrap p-value..      0.715 	 	      0.956 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.7 
std mean diff.........     183.41 	 	     63.246 

mean raw eQQ diff.....        0.6 	 	        0.2 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	        0.1 
med  eCDF diff........       0.29 	 	        0.1 
max  eCDF diff........       0.58 	 	        0.2 

var ratio (Tr/Co).....    0.44118 	 	    0.42857 
T-test p-value........ 0.00029552 	 	     0.1483 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	          0 
std mean diff.........     18.974 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....        2.5 	 	        Inf 
T-test p-value........    0.58771 	 	    0.31932 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.056002 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.40465 
std mean diff.........     101.96 	 	     54.085 

mean raw eQQ diff.....    0.35772 	 	    0.20041 
med  raw eQQ diff.....    0.32143 	 	    0.13095 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.13846 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.9413 
T-test p-value........   0.011232 	 	   0.056002 
KS Bootstrap p-value..       0.04 	 	      0.278 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.7024 
std mean diff.........    -104.96 	 	     -113.9 

mean raw eQQ diff.....     1.0691 	 	     1.2505 
med  raw eQQ diff.....    0.95821 	 	     1.3195 
max  raw eQQ diff.....     2.3128 	 	      2.227 

mean eCDF diff........    0.22625 	 	    0.18125 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	    0.61498 
T-test p-value........   0.015659 	 	    0.08466 
KS Bootstrap p-value..      0.137 	 	      0.676 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.14504 
std mean diff.........     40.098 	 	     44.393 

mean raw eQQ diff.....     0.1643 	 	    0.18266 
med  raw eQQ diff.....   0.066871 	 	   0.077814 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	       0.16 
med  eCDF diff........       0.08 	 	        0.2 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     4.3015 
T-test p-value........    0.25237 	 	    0.22269 
KS Bootstrap p-value..       0.51 	 	      0.598 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.38995 
std mean diff.........     46.479 	 	     4.9917 

mean raw eQQ diff.....    0.13906 	 	   0.073981 
med  raw eQQ diff.....    0.13393 	 	    0.04881 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	      0.075 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.2 

var ratio (Tr/Co).....     1.5186 	 	     1.4874 
T-test p-value........    0.21206 	 	    0.85121 
KS Bootstrap p-value..       0.06 	 	      0.964 
KS Naive p-value......   0.097313 	 	    0.98826 
KS Statistic..........       0.46 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.9143 
std mean diff.........    -69.573 	 	    -76.351 

mean raw eQQ diff.....    0.63087 	 	    0.73269 
med  raw eQQ diff.....    0.50388 	 	    0.57814 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	        0.2 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.22654 
T-test p-value........    0.17153 	 	    0.27397 
KS Bootstrap p-value..      0.336 	 	      0.347 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21816 
std mean diff.........     36.192 	 	     18.695 

mean raw eQQ diff.....   0.073648 	 	    0.08294 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.12667 	 	    0.10714 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.4293 
T-test p-value........    0.32477 	 	    0.51686 
KS Bootstrap p-value..      0.462 	 	      0.679 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.056002 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4047   0.6051   0.2004           0.1112   0.6214  1.8019  .      
ave.log.duration.prev5          2.7024   1.4520   -1.2505          0.7569   -0.9940 -1.6520 .      
ave.outcome.prev5               0.1450   0.3277   0.1827           0.1509   0.5655  1.2102         
ForceUS.prop.prev10             0.3899   0.4019   0.0119           0.0619   0.0546  0.1927         
ave.log.duration.prev10         2.9143   2.5009   -0.4133          0.3781   -0.4640 -1.0932        
ave.outcome.prev10              0.2182   0.2565   0.0384           0.0581   0.2028  0.6598         
---Overall Test---
      chisquare df p.value
strat      7.88  6   0.247
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     18 
$p.values
ForceUS     NPC 
  0.488   0.488 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1922554 15.6399457  0.1630435 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2918498 39.4529304  0.2685348 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 10.574049   1.211811   8.817935 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.6392712  0.5805599  1.6515662 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs FALSE ***


Fri Apr 24 07:01:54 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.568277e-02  6.289907e-02  6.834226e-02  6.834226e-02  7.915215e-02  9.136215e-02  1.290865e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.699812e-01  2.285553e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.667287e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.859996e-01  5.874167e-01  7.521839e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.963513e-01  8.820217e-01  9.088306e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.893083e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.732226e-02  5.290635e-02  5.464633e-02  1.289188e-01  1.483047e-01  1.483047e-01  1.550201e-01  1.640792e-01  1.889926e-01  1.981480e-01  2.326237e-01  2.534558e-01  3.119210e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.228168e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  5.714912e-01  5.714912e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.438677e-01  9.399945e-01  9.423219e-01  9.638220e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

      2 	4.797245e-02  5.049170e-02  5.464633e-02  6.834226e-02  6.834226e-02  6.891195e-02  7.259964e-02  8.889793e-02  8.889793e-02  1.045136e-01  1.610787e-01  1.640792e-01  1.640792e-01  1.678213e-01  2.468027e-01  3.140517e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.669859e-01  4.004737e-01  4.004737e-01  4.006506e-01  4.152026e-01  6.727679e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.232178e-01  9.269373e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.909002e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	5.588482e-02  5.702744e-02  9.782774e-02  1.468938e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.534141e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.582564e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.382272e-01  4.752319e-01  5.361599e-01  5.602099e-01  6.890466e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.391254e-01  8.979963e-01  9.036631e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.909002e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	5.588482e-02  1.213575e-01  1.267360e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  1.896846e-01  2.728433e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.192828e-01  4.199245e-01  4.752319e-01  5.433920e-01  5.664084e-01  6.019158e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.391254e-01  8.975622e-01  9.050473e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.917492e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	5.588482e-02  1.213575e-01  1.281246e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  1.896846e-01  2.728433e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.677297e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.199245e-01  4.752319e-01  5.433920e-01  5.673806e-01  6.495594e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.391254e-01  8.975622e-01  9.050473e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.889518e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.588482e-02  1.213575e-01  1.281246e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  1.896846e-01  2.728433e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.677297e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.199245e-01  4.752319e-01  5.433920e-01  5.673806e-01  6.495594e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.391254e-01  8.975622e-01  9.050473e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.889518e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.350275e+02
 X[ 2] :	1.523174e+02
 X[ 3] :	1.967498e+02
 X[ 4] :	6.525535e+02
 X[ 5] :	8.275951e+02
 X[ 6] :	3.578399e+02
 X[ 7] :	6.856146e+01
 X[ 8] :	1.601131e+01
 X[ 9] :	5.056664e+02
 X[10] :	1.134578e+02
 X[11] :	1.275924e+02
 X[12] :	5.847511e+02
 X[13] :	1.106302e+01
 X[14] :	4.376387e+01
 X[15] :	2.894023e+02
 X[16] :	6.856961e+01
 X[17] :	3.685975e+02
 X[18] :	7.076205e+01
 X[19] :	2.650444e+02
 X[20] :	2.318970e+02
 X[21] :	9.928317e+02
 X[22] :	3.985693e+02

Solution Found Generation 5
Number of Generations Run 16

Fri Apr 24 07:32:31 2015
Total run time : 0 hours 30 minutes and 37 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Arthur         2          1
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5          Ford         4          4
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7 Roosevelt, T.         9          7
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.5 
std mean diff.........     -38.73 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	       0.05 
med  eCDF diff........        0.1 	 	       0.05 
max  eCDF diff........        0.2 	 	        0.1 

var ratio (Tr/Co).....     1.0667 	 	       0.96 
T-test p-value........    0.31164 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1910.7 
std mean diff.........     -45.24 	 	    -36.278 

mean raw eQQ diff.....         31 	 	       26.5 
med  raw eQQ diff.....         34 	 	         32 
max  raw eQQ diff.....         56 	 	         40 

mean eCDF diff........      0.176 	 	       0.16 
med  eCDF diff........       0.14 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.5664 
T-test p-value........    0.21717 	 	    0.12812 
KS Bootstrap p-value..      0.064 	 	      0.327 
KS Naive p-value......   0.074015 	 	    0.41752 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.3 
std mean diff.........    -45.544 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.11 	 	          0 
med  eCDF diff........       0.11 	 	          0 
max  eCDF diff........       0.22 	 	          0 

var ratio (Tr/Co).....    0.89744 	 	          1 
T-test p-value........    0.24695 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.9975 
std mean diff.........    -5.7886 	 	    -12.278 

mean raw eQQ diff.....    0.12454 	 	    0.28497 
med  raw eQQ diff.....   0.078915 	 	     0.2695 
max  raw eQQ diff.....    0.51083 	 	    0.69315 

mean eCDF diff........   0.064762 	 	       0.08 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.4462 
T-test p-value........    0.87448 	 	    0.64956 
KS Bootstrap p-value..      0.922 	 	      0.961 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.6 
std mean diff.........    -26.359 	 	    -16.072 

mean raw eQQ diff.....        1.8 	 	        1.4 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.092308 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     1.0386 	 	     1.1371 
T-test p-value........    0.48877 	 	    0.41992 
KS Bootstrap p-value..      0.496 	 	      0.627 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.4286 
std mean diff.........     7.3104 	 	   -0.51703 

mean raw eQQ diff.....     1.0461 	 	    0.96372 
med  raw eQQ diff.....    0.61465 	 	    0.65982 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.12667 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.54655 
T-test p-value........    0.84878 	 	    0.98895 
KS Bootstrap p-value..      0.768 	 	      0.654 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.28041 
std mean diff.........     101.96 	 	     87.615 

mean raw eQQ diff.....    0.35772 	 	    0.32465 
med  raw eQQ diff.....    0.32143 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.34941 	 	    0.25833 
med  eCDF diff........       0.38 	 	        0.3 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.2462 
T-test p-value........   0.011232 	 	   0.055885 
KS Bootstrap p-value..      0.047 	 	      0.321 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.0523 
std mean diff.........    -104.96 	 	    -54.686 

mean raw eQQ diff.....     1.0691 	 	    0.60038 
med  raw eQQ diff.....    0.95821 	 	    0.38606 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.22625 	 	   0.094118 
med  eCDF diff........       0.23 	 	        0.1 
max  eCDF diff........        0.4 	 	        0.2 

var ratio (Tr/Co).....    0.69226 	 	    0.78842 
T-test p-value........   0.015659 	 	    0.12136 
KS Bootstrap p-value..      0.149 	 	      0.961 
KS Naive p-value......    0.20319 	 	    0.98826 
KS Statistic..........        0.4 	 	        0.2 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.23595 
std mean diff.........     40.098 	 	     22.299 

mean raw eQQ diff.....     0.1643 	 	    0.11539 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	   0.081818 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.4395 
T-test p-value........    0.25237 	 	    0.47523 
KS Bootstrap p-value..       0.49 	 	      0.924 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.28495 
std mean diff.........     46.479 	 	     48.956 

mean raw eQQ diff.....    0.13906 	 	    0.11692 
med  raw eQQ diff.....    0.13393 	 	   0.081319 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	    0.16875 
med  eCDF diff........       0.18 	 	        0.2 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.5186 	 	     2.1842 
T-test p-value........    0.21206 	 	    0.27284 
KS Bootstrap p-value..      0.055 	 	      0.325 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	       2.47 
std mean diff.........    -69.573 	 	     5.7125 

mean raw eQQ diff.....    0.63087 	 	    0.44044 
med  raw eQQ diff.....    0.50388 	 	    0.36796 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16353 	 	    0.21579 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.27248 	 	    0.44864 
T-test p-value........    0.17153 	 	    0.90505 
KS Bootstrap p-value..      0.355 	 	      0.114 
KS Naive p-value......     0.4574 	 	    0.16408 
KS Statistic..........       0.32 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.20677 
std mean diff.........     36.192 	 	     24.245 

mean raw eQQ diff.....   0.073648 	 	    0.07356 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.11429 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.3628 
T-test p-value........    0.32477 	 	    0.54339 
KS Bootstrap p-value..      0.467 	 	      0.636 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.6018 
std mean diff.........    -49.712 	 	    -53.165 

mean raw eQQ diff.....    0.82964 	 	     1.2436 
med  raw eQQ diff.....          0 	 	    0.30346 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........      0.126 	 	    0.11111 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....    0.89235 	 	    0.81406 
T-test p-value........    0.20832 	 	    0.18968 
KS Bootstrap p-value..      0.038 	 	      0.246 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     36.925 
std mean diff.........    -30.637 	 	    -24.007 

mean raw eQQ diff.....     6.4409 	 	     5.0272 
med  raw eQQ diff.....     3.6477 	 	     5.3243 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	   0.094444 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.3 

var ratio (Tr/Co).....     1.0585 	 	    0.89764 
T-test p-value........    0.42114 	 	    0.56738 
KS Bootstrap p-value..      0.386 	 	      0.654 
KS Naive p-value......    0.54124 	 	     0.7591 
KS Statistic..........        0.3 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.2 
std mean diff.........     23.238 	 	      38.73 

mean raw eQQ diff.....        0.1 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.06 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.12 	 	        0.2 

var ratio (Tr/Co).....     1.2698 	 	        1.5 
T-test p-value........    0.53131 	 	     0.1483 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       15.5 
std mean diff.........    -7.4033 	 	     2.6921 

mean raw eQQ diff.....        3.4 	 	        2.6 
med  raw eQQ diff.....          3 	 	        2.5 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........       0.07 	 	       0.08 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.4248 
T-test p-value........    0.84077 	 	    0.89756 
KS Bootstrap p-value..      0.715 	 	      0.941 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.6 
std mean diff.........     183.41 	 	     94.868 

mean raw eQQ diff.....        0.6 	 	        0.3 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	       0.15 
med  eCDF diff........       0.29 	 	       0.15 
max  eCDF diff........       0.58 	 	        0.3 

var ratio (Tr/Co).....    0.44118 	 	      0.375 
T-test p-value........ 0.00029552 	 	    0.17259 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	          0 
std mean diff.........     18.974 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....        2.5 	 	        Inf 
T-test p-value........    0.58771 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3291 	 	    0.41153 
std mean diff.........     33.069 	 	     23.429 

mean raw eQQ diff.....    0.30902 	 	    0.26064 
med  raw eQQ diff.....    0.15153 	 	   0.062166 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........    0.13687 	 	   0.068421 
med  eCDF diff........       0.13 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.2 

var ratio (Tr/Co).....     15.906 	 	     10.045 
T-test p-value........    0.32738 	 	    0.36773 
KS Bootstrap p-value..      0.515 	 	      0.971 
KS Naive p-value......    0.62998 	 	    0.98826 
KS Statistic..........       0.28 	 	        0.2 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........       0.56 	 	        0.7 
std mean diff.........     32.437 	 	    -7.0515 

mean raw eQQ diff.....      0.125 	 	      0.025 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........      0.092 	 	       0.02 
med  eCDF diff........       0.12 	 	          0 
max  eCDF diff........       0.16 	 	        0.1 

var ratio (Tr/Co).....    0.77153 	 	    0.92347 
T-test p-value........     0.4156 	 	    0.83913 
KS Bootstrap p-value..      0.732 	 	      0.992 
KS Naive p-value......    0.99311 	 	          1 
KS Statistic..........       0.16 	 	        0.1 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.055885 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.28041 
std mean diff.........     101.96 	 	     87.615 

mean raw eQQ diff.....    0.35772 	 	    0.32465 
med  raw eQQ diff.....    0.32143 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.34941 	 	    0.25833 
med  eCDF diff........       0.38 	 	        0.3 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.2462 
T-test p-value........   0.011232 	 	   0.055885 
KS Bootstrap p-value..       0.04 	 	      0.332 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.0523 
std mean diff.........    -104.96 	 	    -54.686 

mean raw eQQ diff.....     1.0691 	 	    0.60038 
med  raw eQQ diff.....    0.95821 	 	    0.38606 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.22625 	 	   0.094118 
med  eCDF diff........       0.23 	 	        0.1 
max  eCDF diff........        0.4 	 	        0.2 

var ratio (Tr/Co).....    0.69226 	 	    0.78842 
T-test p-value........   0.015659 	 	    0.12136 
KS Bootstrap p-value..      0.137 	 	      0.968 
KS Naive p-value......    0.20319 	 	    0.98826 
KS Statistic..........        0.4 	 	        0.2 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.23595 
std mean diff.........     40.098 	 	     22.299 

mean raw eQQ diff.....     0.1643 	 	    0.11539 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	   0.081818 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.4395 
T-test p-value........    0.25237 	 	    0.47523 
KS Bootstrap p-value..       0.51 	 	      0.928 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.28495 
std mean diff.........     46.479 	 	     48.956 

mean raw eQQ diff.....    0.13906 	 	    0.11692 
med  raw eQQ diff.....    0.13393 	 	   0.081319 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	    0.16875 
med  eCDF diff........       0.18 	 	        0.2 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.5186 	 	     2.1842 
T-test p-value........    0.21206 	 	    0.27284 
KS Bootstrap p-value..       0.06 	 	      0.327 
KS Naive p-value......   0.097313 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	       2.47 
std mean diff.........    -69.573 	 	     5.7125 

mean raw eQQ diff.....    0.63087 	 	    0.44044 
med  raw eQQ diff.....    0.50388 	 	    0.36796 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16353 	 	    0.21579 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.5 

var ratio (Tr/Co).....    0.27248 	 	    0.44864 
T-test p-value........    0.17153 	 	    0.90505 
KS Bootstrap p-value..      0.336 	 	      0.136 
KS Naive p-value......     0.4574 	 	    0.16408 
KS Statistic..........       0.32 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.20677 
std mean diff.........     36.192 	 	     24.245 

mean raw eQQ diff.....   0.073648 	 	    0.07356 
med  raw eQQ diff.....   0.075458 	 	   0.077381 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.11429 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.3628 
T-test p-value........    0.32477 	 	    0.54339 
KS Bootstrap p-value..      0.462 	 	      0.675 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.055885 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2804   0.6051   0.3247           0.1801   1.0307  1.8026  .      
ave.log.duration.prev5          2.0523   1.4520   -0.6004          0.3991   -0.5135 -1.5044        
ave.outcome.prev5               0.2360   0.3277   0.0918           0.1265   0.2656  0.7252         
ForceUS.prop.prev10             0.2849   0.4019   0.1169           0.1067   0.5734  1.0956         
ave.log.duration.prev10         2.4700   2.5009   0.0309           0.2522   0.0450  0.1226         
ave.outcome.prev10              0.2068   0.2565   0.0498           0.0803   0.2604  0.6193         
---Overall Test---
      chisquare df p.value
strat      6.48  6   0.371
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.353   0.353 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2190824 33.7333777  0.1223404 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2983974 48.3886447  0.2381777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 12.159076   1.406869   6.716090 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9250300  0.7373148  1.4007187 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs TRUE ***


Fri Apr 24 09:03:24 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.138827e-02  4.451749e-02  4.860234e-02  1.204885e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.725890e-01  1.725890e-01  2.833866e-01  2.908936e-01  3.098801e-01  3.193156e-01  3.193156e-01  3.271569e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.087059e-01  5.124099e-01  6.097502e-01  7.514124e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.644904e-01  9.601502e-01  9.882611e-01  9.882611e-01  9.895986e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.487106e-02  5.464633e-02  9.169541e-02  1.226004e-01  1.237394e-01  1.276132e-01  1.640792e-01  1.841206e-01  2.334554e-01  2.614656e-01  2.781284e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.239124e-01  3.846411e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.026306e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.738341e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.207452e-01  9.384612e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

      2 	4.963914e-02  5.510563e-02  8.095744e-02  1.097362e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.558705e-01  1.640792e-01  2.670047e-01  2.770623e-01  2.803923e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.422497e-01  4.796715e-01  4.896014e-01  4.900447e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  7.418608e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.093615e-01  9.859458e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.963914e-02  5.510563e-02  8.095744e-02  1.097362e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.558705e-01  1.640792e-01  2.670047e-01  2.770623e-01  2.803923e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.422497e-01  4.796715e-01  4.896014e-01  4.900447e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  7.418608e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.093615e-01  9.859458e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.616645e+02
 X[ 2] :	9.193248e+02
 X[ 3] :	2.201117e+02
 X[ 4] :	1.860431e+02
 X[ 5] :	7.419921e+02
 X[ 6] :	7.348154e+02
 X[ 7] :	6.119391e+02
 X[ 8] :	8.979610e+02
 X[ 9] :	4.211375e+02
 X[10] :	4.572407e+02
 X[11] :	2.421648e+02
 X[12] :	2.537081e+02
 X[13] :	6.614978e+02
 X[14] :	9.053969e+00
 X[15] :	2.892986e+02
 X[16] :	7.476994e+02
 X[17] :	6.428778e+02
 X[18] :	3.616123e+02
 X[19] :	4.120900e+02
 X[20] :	1.906669e+02
 X[21] :	1.347340e+02
 X[22] :	7.831932e+02

Solution Found Generation 2
Number of Generations Run 13

Fri Apr 24 09:29:25 2015
Total run time : 0 hours 26 minutes and 1 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7         Obama         4          3
10     Clinton        24         10        Truman         6          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.6 
std mean diff.........     -38.73 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	        0.1 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1910.2 
std mean diff.........     -45.24 	 	    -35.566 

mean raw eQQ diff.....         31 	 	       31.8 
med  raw eQQ diff.....         34 	 	         28 
max  raw eQQ diff.....         56 	 	         68 

mean eCDF diff........      0.176 	 	    0.16667 
med  eCDF diff........       0.14 	 	        0.2 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.6233 
T-test p-value........    0.21717 	 	    0.10974 
KS Bootstrap p-value..      0.064 	 	      0.329 
KS Naive p-value......   0.074015 	 	    0.40047 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.4 
std mean diff.........    -45.544 	 	    -20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.11 	 	       0.05 
med  eCDF diff........       0.11 	 	       0.05 
max  eCDF diff........       0.22 	 	        0.1 

var ratio (Tr/Co).....    0.89744 	 	      0.875 
T-test p-value........    0.24695 	 	    0.31932 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.8479 
std mean diff.........    -5.7886 	 	   -0.50215 

mean raw eQQ diff.....    0.12454 	 	    0.27088 
med  raw eQQ diff.....   0.078915 	 	    0.29309 
max  raw eQQ diff.....    0.51083 	 	    0.58779 

mean eCDF diff........   0.064762 	 	   0.091667 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.3195 
T-test p-value........    0.87448 	 	    0.98595 
KS Bootstrap p-value..      0.922 	 	      0.937 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.4 
std mean diff.........    -26.359 	 	    -12.858 

mean raw eQQ diff.....        1.8 	 	        1.4 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.084615 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     1.0386 	 	     1.1834 
T-test p-value........    0.48877 	 	    0.49004 
KS Bootstrap p-value..      0.496 	 	      0.632 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     6.4263 
std mean diff.........     7.3104 	 	    -41.475 

mean raw eQQ diff.....     1.0461 	 	      1.266 
med  raw eQQ diff.....    0.61465 	 	    0.49829 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	   0.076923 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....    0.93878 	 	    0.44297 
T-test p-value........    0.84878 	 	      0.267 
KS Bootstrap p-value..      0.768 	 	      0.935 
KS Naive p-value......     0.9375 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.35238 
std mean diff.........     101.96 	 	     68.192 

mean raw eQQ diff.....    0.35772 	 	    0.25268 
med  raw eQQ diff.....    0.32143 	 	    0.22619 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.16364 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     3.2005 
T-test p-value........   0.011232 	 	   0.049639 
KS Bootstrap p-value..      0.047 	 	      0.289 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.2862 
std mean diff.........    -104.96 	 	    -75.991 

mean raw eQQ diff.....     1.0691 	 	    0.83428 
med  raw eQQ diff.....    0.95821 	 	    0.51073 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.22625 	 	     0.1375 
med  eCDF diff........       0.23 	 	        0.1 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	       1.27 
T-test p-value........   0.015659 	 	   0.080957 
KS Bootstrap p-value..      0.149 	 	      0.674 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.19429 
std mean diff.........     40.098 	 	     32.425 

mean raw eQQ diff.....     0.1643 	 	    0.13342 
med  raw eQQ diff.....   0.066871 	 	   0.077814 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	    0.11818 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3156 
T-test p-value........    0.25237 	 	    0.15587 
KS Bootstrap p-value..       0.49 	 	      0.907 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.33328 
std mean diff.........     46.479 	 	     28.719 

mean raw eQQ diff.....    0.13906 	 	   0.088588 
med  raw eQQ diff.....    0.13393 	 	   0.053447 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	   0.093333 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.9705 
T-test p-value........    0.21206 	 	    0.27706 
KS Bootstrap p-value..      0.055 	 	      0.677 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.5638 
std mean diff.........    -69.573 	 	     -11.62 

mean raw eQQ diff.....    0.63087 	 	    0.41884 
med  raw eQQ diff.....    0.50388 	 	    0.28605 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16353 	 	    0.19412 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.45559 
T-test p-value........    0.17153 	 	    0.80936 
KS Bootstrap p-value..      0.355 	 	      0.345 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.22927 
std mean diff.........     36.192 	 	      13.28 

mean raw eQQ diff.....   0.073648 	 	   0.077983 
med  raw eQQ diff.....   0.075458 	 	   0.089744 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.10714 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.3446 
T-test p-value........    0.32477 	 	    0.47967 
KS Bootstrap p-value..      0.467 	 	      0.642 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.2 
std mean diff.........    -18.974 	 	    -31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....    0.71429 	 	     0.5625 
T-test p-value........    0.63627 	 	    0.57149 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -3.0072 
std mean diff.........    -49.712 	 	    -35.832 

mean raw eQQ diff.....    0.82964 	 	    0.83817 
med  raw eQQ diff.....          0 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     2.2851 

mean eCDF diff........      0.126 	 	       0.11 
med  eCDF diff........       0.06 	 	       0.05 
max  eCDF diff........       0.46 	 	        0.5 

var ratio (Tr/Co).....    0.89235 	 	      1.274 
T-test p-value........    0.20832 	 	    0.44225 
KS Bootstrap p-value..      0.038 	 	      0.097 
KS Naive p-value......   0.097313 	 	    0.16408 
KS Statistic..........       0.46 	 	        0.5 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     33.585 
std mean diff.........    -30.637 	 	    -6.9046 

mean raw eQQ diff.....     6.4409 	 	     5.2205 
med  raw eQQ diff.....     3.6477 	 	      4.625 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	    0.10625 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.3 

var ratio (Tr/Co).....     1.0585 	 	     1.2621 
T-test p-value........    0.42114 	 	    0.74186 
KS Bootstrap p-value..      0.386 	 	      0.641 
KS Naive p-value......    0.54124 	 	     0.7591 
KS Statistic..........        0.3 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.2 
std mean diff.........     23.238 	 	      38.73 

mean raw eQQ diff.....        0.1 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.06 	 	        0.1 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.12 	 	        0.2 

var ratio (Tr/Co).....     1.2698 	 	        1.5 
T-test p-value........    0.53131 	 	     0.1483 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       13.4 
std mean diff.........    -7.4033 	 	     16.826 

mean raw eQQ diff.....        3.4 	 	        3.9 
med  raw eQQ diff.....          3 	 	        2.5 
max  raw eQQ diff.....          9 	 	         14 

mean eCDF diff........       0.07 	 	    0.11429 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	      1.658 
T-test p-value........    0.84077 	 	     0.4896 
KS Bootstrap p-value..      0.715 	 	       0.95 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.8 
std mean diff.........     183.41 	 	     31.623 

mean raw eQQ diff.....        0.6 	 	        0.1 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	       0.05 
med  eCDF diff........       0.29 	 	       0.05 
max  eCDF diff........       0.58 	 	        0.1 

var ratio (Tr/Co).....    0.44118 	 	     0.5625 
T-test p-value........ 0.00029552 	 	    0.57149 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	          0 
std mean diff.........     18.974 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....        2.5 	 	        Inf 
T-test p-value........    0.58771 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3291 	 	    0.33167 
std mean diff.........     33.069 	 	     32.768 

mean raw eQQ diff.....    0.30902 	 	    0.30829 
med  raw eQQ diff.....    0.15153 	 	   0.095632 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........    0.13687 	 	    0.12353 
med  eCDF diff........       0.13 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     15.906 	 	     12.814 
T-test p-value........    0.32738 	 	    0.28039 
KS Bootstrap p-value..      0.515 	 	      0.663 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........       0.56 	 	       0.85 
std mean diff.........     32.437 	 	    -49.361 

mean raw eQQ diff.....      0.125 	 	      0.175 
med  raw eQQ diff.....          0 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........      0.092 	 	       0.14 
med  eCDF diff........       0.12 	 	        0.2 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....    0.77153 	 	     2.8281 
T-test p-value........     0.4156 	 	   0.055106 
KS Bootstrap p-value..      0.732 	 	      0.773 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.049639 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.35238 
std mean diff.........     101.96 	 	     68.192 

mean raw eQQ diff.....    0.35772 	 	    0.25268 
med  raw eQQ diff.....    0.32143 	 	    0.22619 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.16364 
med  eCDF diff........       0.38 	 	        0.1 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     3.2005 
T-test p-value........   0.011232 	 	   0.049639 
KS Bootstrap p-value..       0.04 	 	      0.269 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.2862 
std mean diff.........    -104.96 	 	    -75.991 

mean raw eQQ diff.....     1.0691 	 	    0.83428 
med  raw eQQ diff.....    0.95821 	 	    0.51073 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.22625 	 	     0.1375 
med  eCDF diff........       0.23 	 	        0.1 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	       1.27 
T-test p-value........   0.015659 	 	   0.080957 
KS Bootstrap p-value..      0.137 	 	      0.706 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.19429 
std mean diff.........     40.098 	 	     32.425 

mean raw eQQ diff.....     0.1643 	 	    0.13342 
med  raw eQQ diff.....   0.066871 	 	   0.077814 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	    0.11818 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.3156 
T-test p-value........    0.25237 	 	    0.15587 
KS Bootstrap p-value..       0.51 	 	      0.906 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.33328 
std mean diff.........     46.479 	 	     28.719 

mean raw eQQ diff.....    0.13906 	 	   0.088588 
med  raw eQQ diff.....    0.13393 	 	   0.053447 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	   0.093333 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.9705 
T-test p-value........    0.21206 	 	    0.27706 
KS Bootstrap p-value..       0.06 	 	      0.661 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.5638 
std mean diff.........    -69.573 	 	     -11.62 

mean raw eQQ diff.....    0.63087 	 	    0.41884 
med  raw eQQ diff.....    0.50388 	 	    0.28605 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16353 	 	    0.19412 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.45559 
T-test p-value........    0.17153 	 	    0.80936 
KS Bootstrap p-value..      0.336 	 	      0.368 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.22927 
std mean diff.........     36.192 	 	      13.28 

mean raw eQQ diff.....   0.073648 	 	   0.077983 
med  raw eQQ diff.....   0.075458 	 	   0.089744 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	    0.10714 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.3446 
T-test p-value........    0.32477 	 	    0.47967 
KS Bootstrap p-value..      0.462 	 	      0.661 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.049639 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3524   0.6051   0.2527           0.1372   0.8418  1.8422  .      
ave.log.duration.prev5          2.2862   1.4520   -0.8343          0.4998   -0.8038 -1.6692 .      
ave.outcome.prev5               0.1943   0.3277   0.1334           0.0959   0.3832  1.3908         
ForceUS.prop.prev10             0.3333   0.4019   0.0686           0.0631   0.3308  1.0865         
ave.log.duration.prev10         2.5638   2.5009   -0.0629          0.2540   -0.0919 -0.2477        
ave.outcome.prev10              0.2293   0.2565   0.0273           0.0379   0.1422  0.7181         
---Overall Test---
      chisquare df p.value
strat      5.51  6    0.48
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     11 
$p.values
ForceUS     NPC 
  0.695   0.695 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2267099  5.1633255  0.1179245 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3075641 17.9536447  0.2256777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
13.2625295  0.3191995  6.5881486 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
2.02112787 0.02396206 1.20793180 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs FALSE ***


Fri Apr 24 11:02:57 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.160651e-02  3.881631e-02  8.534723e-02  1.244507e-01  1.339972e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.640792e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.350861e-01  3.645518e-01  3.947474e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.199245e-01  4.199245e-01  4.424400e-01  5.017767e-01  5.236413e-01  5.714912e-01  5.714912e-01  5.792554e-01  6.396029e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.618406e-01  8.644428e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.506452e-02  5.747248e-02  6.834226e-02  7.270014e-02  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.963205e-01  2.288767e-01  2.305656e-01  3.002928e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.427990e-01  3.679499e-01  4.004737e-01  4.004737e-01  4.175237e-01  4.467799e-01  5.088042e-01  5.570626e-01  5.714912e-01  5.714912e-01  6.621362e-01  6.621362e-01  7.055174e-01  7.472274e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.182748e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

      2 	5.510563e-02  5.747248e-02  7.685922e-02  9.725640e-02  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  1.963205e-01  2.106188e-01  3.002928e-01  3.093572e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.836897e-01  4.004737e-01  4.004737e-01  4.131479e-01  4.175237e-01  4.199245e-01  4.199245e-01  4.446628e-01  4.858742e-01  5.714912e-01  5.714912e-01  6.118052e-01  7.472274e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.863335e-01  9.826657e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.510563e-02  5.747248e-02  7.685922e-02  9.725640e-02  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  1.963205e-01  2.106188e-01  3.002928e-01  3.093572e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.836897e-01  4.004737e-01  4.004737e-01  4.131479e-01  4.175237e-01  4.199245e-01  4.199245e-01  4.446628e-01  4.858742e-01  5.714912e-01  5.714912e-01  6.118052e-01  7.472274e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.863335e-01  9.826657e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.544585e+02
 X[ 2] :	6.845472e+02
 X[ 3] :	7.892864e+02
 X[ 4] :	3.080710e+02
 X[ 5] :	2.314766e+02
 X[ 6] :	6.085159e+02
 X[ 7] :	8.983027e+02
 X[ 8] :	6.715516e+02
 X[ 9] :	5.235642e+02
 X[10] :	7.907584e+01
 X[11] :	1.933235e+02
 X[12] :	2.860046e+02
 X[13] :	5.800569e+02
 X[14] :	5.412953e+01
 X[15] :	4.142470e+01
 X[16] :	8.720996e+01
 X[17] :	7.603946e+02
 X[18] :	4.111149e+02
 X[19] :	2.478772e+02
 X[20] :	1.164075e+02
 X[21] :	2.267772e+02
 X[22] :	5.655948e+02
 X[23] :	1.337040e+02
 X[24] :	1.737712e+02

Solution Found Generation 2
Number of Generations Run 13

Fri Apr 24 11:31:23 2015
Total run time : 0 hours 28 minutes and 26 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1       Harding         1          1
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7         Obama         4          3
10     Clinton        24         10        Truman         6          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.6 
std mean diff.........     -38.73 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........        0.1 	 	        0.1 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1911.4 
std mean diff.........     -45.24 	 	    -37.274 

mean raw eQQ diff.....         31 	 	         33 
med  raw eQQ diff.....         34 	 	         34 
max  raw eQQ diff.....         56 	 	         56 

mean eCDF diff........      0.176 	 	       0.18 
med  eCDF diff........       0.14 	 	        0.2 
max  eCDF diff........       0.46 	 	        0.4 

var ratio (Tr/Co).....     1.8377 	 	     1.7788 
T-test p-value........    0.21717 	 	   0.076859 
KS Bootstrap p-value..      0.064 	 	       0.35 
KS Naive p-value......   0.074015 	 	    0.41752 
KS Statistic..........       0.46 	 	        0.4 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.5 
std mean diff.........    -45.544 	 	    -41.404 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.11 	 	        0.1 
med  eCDF diff........       0.11 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....    0.89744 	 	       0.84 
T-test p-value........    0.24695 	 	     0.1483 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     1.7623 
std mean diff.........    -5.7886 	 	     6.2348 

mean raw eQQ diff.....    0.12454 	 	    0.19426 
med  raw eQQ diff.....   0.078915 	 	    0.24418 
max  raw eQQ diff.....    0.51083 	 	    0.46262 

mean eCDF diff........   0.064762 	 	   0.076923 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.3137 
T-test p-value........    0.87448 	 	    0.88633 
KS Bootstrap p-value..      0.922 	 	      0.949 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.8 
std mean diff.........    -26.359 	 	    -19.287 

mean raw eQQ diff.....        1.8 	 	        1.4 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.092308 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     1.0386 	 	     1.1786 
T-test p-value........    0.48877 	 	    0.41315 
KS Bootstrap p-value..      0.496 	 	      0.631 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     5.4023 
std mean diff.........     7.3104 	 	    0.56199 

mean raw eQQ diff.....     1.0461 	 	    0.98946 
med  raw eQQ diff.....    0.61465 	 	    0.65982 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.13333 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....    0.93878 	 	    0.55171 
T-test p-value........    0.84878 	 	    0.98267 
KS Bootstrap p-value..      0.768 	 	      0.647 
KS Naive p-value......     0.9375 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.36829 
std mean diff.........     101.96 	 	     63.899 

mean raw eQQ diff.....    0.35772 	 	    0.23677 
med  raw eQQ diff.....    0.32143 	 	    0.18333 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.19167 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.5734 
T-test p-value........   0.011232 	 	   0.057472 
KS Bootstrap p-value..      0.047 	 	      0.303 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.3971 
std mean diff.........    -104.96 	 	    -86.091 

mean raw eQQ diff.....     1.0691 	 	    0.94517 
med  raw eQQ diff.....    0.95821 	 	    0.75149 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.22625 	 	    0.15294 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	     0.5416 
T-test p-value........   0.015659 	 	   0.097256 
KS Bootstrap p-value..      0.149 	 	      0.693 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.23671 
std mean diff.........     40.098 	 	     22.115 

mean raw eQQ diff.....     0.1643 	 	    0.11528 
med  raw eQQ diff.....   0.066871 	 	   0.032576 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	   0.091667 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.5628 
T-test p-value........    0.25237 	 	    0.48587 
KS Bootstrap p-value..       0.49 	 	      0.927 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.33578 
std mean diff.........     46.479 	 	     27.672 

mean raw eQQ diff.....    0.13906 	 	   0.086088 
med  raw eQQ diff.....    0.13393 	 	    0.05525 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	        0.1 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.4691 
T-test p-value........    0.21206 	 	    0.30029 
KS Bootstrap p-value..      0.055 	 	      0.678 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.7339 
std mean diff.........    -69.573 	 	    -43.038 

mean raw eQQ diff.....    0.63087 	 	    0.55185 
med  raw eQQ diff.....    0.50388 	 	    0.43123 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16353 	 	    0.18947 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.29557 
T-test p-value........    0.17153 	 	    0.44466 
KS Bootstrap p-value..      0.355 	 	      0.317 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.22427 
std mean diff.........     36.192 	 	     15.717 

mean raw eQQ diff.....   0.073648 	 	   0.060163 
med  raw eQQ diff.....   0.075458 	 	    0.03842 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	   0.086667 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.5988 
T-test p-value........    0.32477 	 	    0.38369 
KS Bootstrap p-value..      0.467 	 	      0.649 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.2 
std mean diff.........    -18.974 	 	    -31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....    0.71429 	 	     0.5625 
T-test p-value........    0.63627 	 	    0.57149 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.6533 
std mean diff.........    -49.712 	 	    -50.961 

mean raw eQQ diff.....    0.82964 	 	     1.1921 
med  raw eQQ diff.....          0 	 	    0.93277 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........      0.126 	 	       0.14 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.5 

var ratio (Tr/Co).....    0.89235 	 	    0.96617 
T-test p-value........    0.20832 	 	    0.19632 
KS Bootstrap p-value..      0.038 	 	      0.083 
KS Naive p-value......   0.097313 	 	    0.16408 
KS Statistic..........       0.46 	 	        0.5 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     34.308 
std mean diff.........    -30.637 	 	    -10.608 

mean raw eQQ diff.....     6.4409 	 	     5.2256 
med  raw eQQ diff.....     3.6477 	 	      4.625 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	   0.094444 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.3 

var ratio (Tr/Co).....     1.0585 	 	     1.3224 
T-test p-value........    0.42114 	 	    0.61181 
KS Bootstrap p-value..      0.386 	 	      0.657 
KS Naive p-value......    0.54124 	 	     0.7591 
KS Statistic..........        0.3 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.3 
std mean diff.........     23.238 	 	     19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.06 	 	       0.05 
med  eCDF diff........       0.06 	 	       0.05 
max  eCDF diff........       0.12 	 	        0.1 

var ratio (Tr/Co).....     1.2698 	 	     1.1429 
T-test p-value........    0.53131 	 	    0.31932 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       14.7 
std mean diff.........    -7.4033 	 	     8.0763 

mean raw eQQ diff.....        3.4 	 	        3.2 
med  raw eQQ diff.....          3 	 	        2.5 
max  raw eQQ diff.....          9 	 	          7 

mean eCDF diff........       0.07 	 	   0.093333 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.6952 
T-test p-value........    0.84077 	 	    0.74723 
KS Bootstrap p-value..      0.715 	 	      0.967 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.6 
std mean diff.........     183.41 	 	     94.868 

mean raw eQQ diff.....        0.6 	 	        0.3 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	       0.15 
med  eCDF diff........       0.29 	 	       0.15 
max  eCDF diff........       0.58 	 	        0.3 

var ratio (Tr/Co).....    0.44118 	 	      0.375 
T-test p-value........ 0.00029552 	 	    0.17259 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	          0 
std mean diff.........     18.974 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....        2.5 	 	        Inf 
T-test p-value........    0.58771 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3291 	 	    0.38366 
std mean diff.........     33.069 	 	     26.689 

mean raw eQQ diff.....    0.30902 	 	    0.28222 
med  raw eQQ diff.....    0.15153 	 	   0.084047 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........    0.13687 	 	   0.089474 
med  eCDF diff........       0.13 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.2 

var ratio (Tr/Co).....     15.906 	 	     9.4354 
T-test p-value........    0.32738 	 	    0.30936 
KS Bootstrap p-value..      0.515 	 	      0.978 
KS Naive p-value......    0.62998 	 	    0.98826 
KS Statistic..........       0.28 	 	        0.2 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........       0.56 	 	       0.85 
std mean diff.........     32.437 	 	    -49.361 

mean raw eQQ diff.....      0.125 	 	      0.175 
med  raw eQQ diff.....          0 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........      0.092 	 	       0.14 
med  eCDF diff........       0.12 	 	        0.2 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....    0.77153 	 	     2.8281 
T-test p-value........     0.4156 	 	   0.055106 
KS Bootstrap p-value..      0.732 	 	      0.773 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.6 	 	        0.6 
mean control..........       0.28 	 	        0.4 
std mean diff.........     61.968 	 	      38.73 

mean raw eQQ diff.....        0.3 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.16 	 	        0.1 
med  eCDF diff........       0.16 	 	        0.1 
max  eCDF diff........       0.32 	 	        0.2 

var ratio (Tr/Co).....     1.2698 	 	          1 
T-test p-value........    0.10808 	 	    0.41992 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........        8.9 	 	        8.9 
mean control..........        8.2 	 	        5.8 
std mean diff.........     8.1935 	 	     36.286 

mean raw eQQ diff.....        2.9 	 	        3.9 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....         10 	 	         14 

mean eCDF diff........    0.07375 	 	    0.10909 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.18 	 	        0.3 

var ratio (Tr/Co).....     1.0813 	 	     7.8577 
T-test p-value........    0.82759 	 	    0.21062 
KS Bootstrap p-value..      0.846 	 	      0.589 
KS Naive p-value......    0.97478 	 	     0.7591 
KS Statistic..........       0.18 	 	        0.3 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.055106 
Variable Name(s): unified  Number(s): 22 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.36829 
std mean diff.........     101.96 	 	     63.899 

mean raw eQQ diff.....    0.35772 	 	    0.23677 
med  raw eQQ diff.....    0.32143 	 	    0.18333 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.34941 	 	    0.19167 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     1.5734 
T-test p-value........   0.011232 	 	   0.057472 
KS Bootstrap p-value..       0.04 	 	      0.309 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.3971 
std mean diff.........    -104.96 	 	    -86.091 

mean raw eQQ diff.....     1.0691 	 	    0.94517 
med  raw eQQ diff.....    0.95821 	 	    0.75149 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.22625 	 	    0.15294 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	     0.5416 
T-test p-value........   0.015659 	 	   0.097256 
KS Bootstrap p-value..      0.137 	 	      0.696 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.23671 
std mean diff.........     40.098 	 	     22.115 

mean raw eQQ diff.....     0.1643 	 	    0.11528 
med  raw eQQ diff.....   0.066871 	 	   0.032576 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10421 	 	   0.091667 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.2 

var ratio (Tr/Co).....     3.9942 	 	     2.5628 
T-test p-value........    0.25237 	 	    0.48587 
KS Bootstrap p-value..       0.51 	 	      0.947 
KS Naive p-value......    0.71974 	 	    0.98826 
KS Statistic..........       0.26 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.33578 
std mean diff.........     46.479 	 	     27.672 

mean raw eQQ diff.....    0.13906 	 	   0.086088 
med  raw eQQ diff.....    0.13393 	 	    0.05525 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........      0.185 	 	        0.1 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     1.4691 
T-test p-value........    0.21206 	 	    0.30029 
KS Bootstrap p-value..       0.06 	 	      0.666 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.7339 
std mean diff.........    -69.573 	 	    -43.038 

mean raw eQQ diff.....    0.63087 	 	    0.55185 
med  raw eQQ diff.....    0.50388 	 	    0.43123 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.16353 	 	    0.18947 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.29557 
T-test p-value........    0.17153 	 	    0.44466 
KS Bootstrap p-value..      0.336 	 	      0.364 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.22427 
std mean diff.........     36.192 	 	     15.717 

mean raw eQQ diff.....   0.073648 	 	   0.060163 
med  raw eQQ diff.....   0.075458 	 	    0.03842 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.12667 	 	   0.086667 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.5988 
T-test p-value........    0.32477 	 	    0.38369 
KS Bootstrap p-value..      0.462 	 	      0.686 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.057472 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3683   0.6051   0.2368           0.1321   0.7066  1.7931  .      
ave.log.duration.prev5          2.3971   1.4520   -0.9452          0.5918   -0.7217 -1.5972        
ave.outcome.prev5               0.2367   0.3277   0.0910           0.1285   0.2653  0.7082         
ForceUS.prop.prev10             0.3358   0.4019   0.0661           0.0637   0.3019  1.0381         
ave.log.duration.prev10         2.7339   2.5009   -0.2330          0.3006   -0.2907 -0.7750        
ave.outcome.prev10              0.2243   0.2565   0.0323           0.0367   0.1743  0.8796         
---Overall Test---
      chisquare df p.value
strat      7.16  6   0.306
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     22 
$p.values
ForceUS     NPC 
  0.237   0.237 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2626488 20.5312500  0.1071429 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3650641 41.9136447  0.2381777 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 13.920387   1.026680   5.599702 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 2.1862029  0.2943275  1.2530024 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs TRUE ***


Fri Apr 24 13:06:46 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.969917e-02  5.005950e-02  7.557430e-02  1.253080e-01  1.360954e-01  1.640792e-01  2.065990e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.470496e-01  3.705377e-01  3.939088e-01  4.004737e-01  4.004737e-01  4.411154e-01  5.714912e-01  5.714912e-01  5.810336e-01  6.424433e-01  6.806088e-01  6.858544e-01  7.147001e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	4.382398e-02  4.533900e-02  6.215345e-02  7.419685e-02  9.028792e-02  1.483047e-01  1.483047e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.135754e-01  2.642244e-01  2.729122e-01  3.057554e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.353249e-01  5.470144e-01  5.684785e-01  6.469596e-01  6.481164e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.735712e-01  8.213542e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	4.632368e-02  6.980396e-02  7.288224e-02  1.483047e-01  1.483047e-01  1.607999e-01  1.796428e-01  1.821973e-01  2.212894e-01  2.269396e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.463589e-01  3.988689e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.236918e-01  4.251836e-01  4.452343e-01  4.861849e-01  5.347134e-01  5.630310e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.632368e-02  6.980396e-02  7.288224e-02  1.483047e-01  1.483047e-01  1.607999e-01  1.796428e-01  1.821973e-01  2.212894e-01  2.269396e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.463589e-01  3.988689e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.236918e-01  4.251836e-01  4.452343e-01  4.861849e-01  5.347134e-01  5.630310e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.726556e+02
 X[ 2] :	4.093023e+02
 X[ 3] :	6.740125e+02
 X[ 4] :	4.541573e+02
 X[ 5] :	7.194195e+02
 X[ 6] :	6.988047e+02
 X[ 7] :	4.755386e+02
 X[ 8] :	2.579364e+02
 X[ 9] :	2.187089e+02
 X[10] :	2.875692e+02
 X[11] :	1.592033e+02
 X[12] :	2.504788e+02
 X[13] :	2.440786e+02
 X[14] :	3.286982e+02
 X[15] :	2.250297e+02
 X[16] :	6.963430e+02
 X[17] :	9.995161e+02
 X[18] :	4.639050e+02
 X[19] :	3.358268e+02
 X[20] :	1.749817e+02
 X[21] :	8.084593e+01
 X[22] :	9.123203e+01
 X[23] :	6.849612e+02
 X[24] :	2.256345e+02

Solution Found Generation 4
Number of Generations Run 15

Fri Apr 24 13:38:18 2015
Total run time : 0 hours 31 minutes and 32 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4        Arthur         2          1
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........        0.6 	 	        0.4 
std mean diff.........     -38.73 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........        0.1 	 	          0 
med  eCDF diff........        0.1 	 	          0 
max  eCDF diff........        0.2 	 	          0 

var ratio (Tr/Co).....     1.0667 	 	          1 
T-test p-value........    0.31164 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.36 	 	        0.3 
std mean diff.........    -12.421 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.97222 	 	          1 
T-test p-value........      0.745 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1917 	 	     1899.5 
std mean diff.........     -45.24 	 	    -20.344 

mean raw eQQ diff.....         31 	 	       15.3 
med  raw eQQ diff.....         34 	 	         16 
max  raw eQQ diff.....         56 	 	         28 

mean eCDF diff........      0.176 	 	   0.094444 
med  eCDF diff........       0.14 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.8377 	 	      1.194 
T-test p-value........    0.21717 	 	   0.072882 
KS Bootstrap p-value..      0.064 	 	      0.686 
KS Naive p-value......   0.074015 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........       0.52 	 	        0.5 
std mean diff.........    -45.544 	 	    -41.404 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.11 	 	        0.1 
med  eCDF diff........       0.11 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....    0.89744 	 	       0.84 
T-test p-value........    0.24695 	 	     0.1483 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.915 	 	     2.1815 
std mean diff.........    -5.7886 	 	    -26.767 

mean raw eQQ diff.....    0.12454 	 	    0.43173 
med  raw eQQ diff.....   0.078915 	 	     0.3688 
max  raw eQQ diff.....    0.51083 	 	     1.0986 

mean eCDF diff........   0.064762 	 	    0.11538 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....     1.3483 	 	     1.3417 
T-test p-value........    0.87448 	 	    0.42369 
KS Bootstrap p-value..      0.922 	 	      0.949 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........       8.24 	 	        7.4 
std mean diff.........    -26.359 	 	    -12.858 

mean raw eQQ diff.....        1.8 	 	        1.4 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........      0.096 	 	   0.091667 
med  eCDF diff........        0.1 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     1.0386 	 	     1.0806 
T-test p-value........    0.48877 	 	    0.39887 
KS Bootstrap p-value..      0.496 	 	      0.568 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.2379 	 	     4.6815 
std mean diff.........     7.3104 	 	     30.156 

mean raw eQQ diff.....     1.0461 	 	     1.7103 
med  raw eQQ diff.....    0.61465 	 	     1.1184 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.071818 	 	    0.17692 
med  eCDF diff........       0.06 	 	        0.2 
max  eCDF diff........        0.2 	 	        0.4 

var ratio (Tr/Co).....    0.93878 	 	    0.62549 
T-test p-value........    0.84878 	 	    0.44523 
KS Bootstrap p-value..      0.768 	 	      0.281 
KS Naive p-value......     0.9375 	 	    0.40047 
KS Statistic..........        0.2 	 	        0.4 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.29708 
std mean diff.........     101.96 	 	     83.117 

mean raw eQQ diff.....    0.35772 	 	    0.30799 
med  raw eQQ diff.....    0.32143 	 	    0.24286 
max  raw eQQ diff.....    0.73684 	 	    0.66667 

mean eCDF diff........    0.34941 	 	      0.225 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.8999 
T-test p-value........   0.011232 	 	   0.046324 
KS Bootstrap p-value..      0.047 	 	      0.296 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5122 
std mean diff.........    -104.96 	 	     -96.57 

mean raw eQQ diff.....     1.0691 	 	     1.0602 
med  raw eQQ diff.....    0.95821 	 	    0.99668 
max  raw eQQ diff.....     2.3128 	 	      2.227 

mean eCDF diff........    0.22625 	 	       0.18 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	    0.53383 
T-test p-value........   0.015659 	 	   0.069804 
KS Bootstrap p-value..      0.149 	 	      0.664 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.20262 
std mean diff.........     40.098 	 	       30.4 

mean raw eQQ diff.....     0.1643 	 	    0.16539 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	    0.11111 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     4.1403 
T-test p-value........    0.25237 	 	    0.22694 
KS Bootstrap p-value..       0.49 	 	      0.525 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.30578 
std mean diff.........     46.479 	 	     40.233 

mean raw eQQ diff.....    0.13906 	 	    0.10122 
med  raw eQQ diff.....    0.13393 	 	    0.05525 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	     0.1375 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     2.4746 
T-test p-value........    0.21206 	 	    0.34636 
KS Bootstrap p-value..      0.055 	 	       0.66 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.9224 
std mean diff.........    -69.573 	 	    -77.864 

mean raw eQQ diff.....    0.63087 	 	    0.70381 
med  raw eQQ diff.....    0.50388 	 	    0.52897 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	        0.2 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.24072 
T-test p-value........    0.17153 	 	    0.22129 
KS Bootstrap p-value..      0.355 	 	      0.338 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21649 
std mean diff.........     36.192 	 	     19.507 

mean raw eQQ diff.....   0.073648 	 	   0.094607 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.12667 	 	    0.13846 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.5405 
T-test p-value........    0.32477 	 	    0.48618 
KS Bootstrap p-value..      0.467 	 	      0.635 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.16 	 	        0.1 
std mean diff.........    -18.974 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.03 	 	          0 
med  eCDF diff........       0.03 	 	          0 
max  eCDF diff........       0.06 	 	          0 

var ratio (Tr/Co).....    0.71429 	 	          1 
T-test p-value........    0.63627 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........    -2.6826 	 	    -2.7889 
std mean diff.........    -49.712 	 	    -45.167 

mean raw eQQ diff.....    0.82964 	 	     1.0565 
med  raw eQQ diff.....          0 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........      0.126 	 	    0.11111 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....    0.89235 	 	     1.2006 
T-test p-value........    0.20832 	 	     0.1822 
KS Bootstrap p-value..      0.038 	 	      0.512 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........      38.22 	 	     36.529 
std mean diff.........    -30.637 	 	    -21.978 

mean raw eQQ diff.....     6.4409 	 	     5.8308 
med  raw eQQ diff.....     3.6477 	 	     5.6461 
max  raw eQQ diff.....     19.042 	 	     13.667 

mean eCDF diff........       0.09 	 	     0.1125 
med  eCDF diff........       0.06 	 	        0.1 
max  eCDF diff........        0.3 	 	        0.3 

var ratio (Tr/Co).....     1.0585 	 	    0.87834 
T-test p-value........    0.42114 	 	    0.17964 
KS Bootstrap p-value..      0.386 	 	      0.643 
KS Naive p-value......    0.54124 	 	     0.7591 
KS Statistic..........        0.3 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........       0.28 	 	        0.4 
std mean diff.........     23.238 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........       0.06 	 	          0 
med  eCDF diff........       0.06 	 	          0 
max  eCDF diff........       0.12 	 	          0 

var ratio (Tr/Co).....     1.2698 	 	          1 
T-test p-value........    0.53131 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........         17 	 	       14.4 
std mean diff.........    -7.4033 	 	     10.095 

mean raw eQQ diff.....        3.4 	 	        2.5 
med  raw eQQ diff.....          3 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........       0.07 	 	   0.078571 
med  eCDF diff........       0.05 	 	        0.1 
max  eCDF diff........       0.22 	 	        0.2 

var ratio (Tr/Co).....     1.2848 	 	     1.2446 
T-test p-value........    0.84077 	 	    0.42518 
KS Bootstrap p-value..      0.715 	 	      0.938 
KS Naive p-value......    0.87979 	 	    0.98826 
KS Statistic..........       0.22 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........       0.32 	 	        0.7 
std mean diff.........     183.41 	 	     63.246 

mean raw eQQ diff.....        0.6 	 	        0.2 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.29 	 	        0.1 
med  eCDF diff........       0.29 	 	        0.1 
max  eCDF diff........       0.58 	 	        0.2 

var ratio (Tr/Co).....    0.44118 	 	    0.42857 
T-test p-value........ 0.00029552 	 	    0.31932 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........       0.04 	 	          0 
std mean diff.........     18.974 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........       0.03 	 	       0.05 
med  eCDF diff........       0.03 	 	       0.05 
max  eCDF diff........       0.06 	 	        0.1 

var ratio (Tr/Co).....        2.5 	 	        Inf 
T-test p-value........    0.58771 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3291 	 	    0.47353 
std mean diff.........     33.069 	 	     16.179 

mean raw eQQ diff.....    0.30902 	 	    0.28029 
med  raw eQQ diff.....    0.15153 	 	   0.084853 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........    0.13687 	 	   0.094118 
med  eCDF diff........       0.13 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     15.906 	 	     7.9478 
T-test p-value........    0.32738 	 	    0.56303 
KS Bootstrap p-value..      0.515 	 	      0.642 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........       0.56 	 	      0.775 
std mean diff.........     32.437 	 	    -28.206 

mean raw eQQ diff.....      0.125 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........      0.092 	 	       0.08 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.16 	 	        0.2 

var ratio (Tr/Co).....    0.77153 	 	      1.071 
T-test p-value........     0.4156 	 	    0.53471 
KS Bootstrap p-value..      0.732 	 	      0.778 
KS Naive p-value......    0.99311 	 	    0.98826 
KS Statistic..........       0.16 	 	        0.2 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.6 	 	        0.6 
mean control..........       0.28 	 	        0.5 
std mean diff.........     61.968 	 	     19.365 

mean raw eQQ diff.....        0.3 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........       0.16 	 	       0.05 
med  eCDF diff........       0.16 	 	       0.05 
max  eCDF diff........       0.32 	 	        0.1 

var ratio (Tr/Co).....     1.2698 	 	       0.96 
T-test p-value........    0.10808 	 	    0.31932 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........        8.9 	 	        8.9 
mean control..........        8.2 	 	        5.4 
std mean diff.........     8.1935 	 	     40.968 

mean raw eQQ diff.....        2.9 	 	        4.7 
med  raw eQQ diff.....          1 	 	        2.5 
max  raw eQQ diff.....         10 	 	         14 

mean eCDF diff........    0.07375 	 	    0.16364 
med  eCDF diff........       0.06 	 	        0.2 
max  eCDF diff........       0.18 	 	        0.3 

var ratio (Tr/Co).....     1.0813 	 	     11.248 
T-test p-value........    0.82759 	 	     0.1608 
KS Bootstrap p-value..      0.846 	 	      0.588 
KS Naive p-value......    0.97478 	 	     0.7591 
KS Statistic..........       0.18 	 	        0.3 


Before Matching Minimum p.value: 0.00029552 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.046324 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.22726 	 	    0.29708 
std mean diff.........     101.96 	 	     83.117 

mean raw eQQ diff.....    0.35772 	 	    0.30799 
med  raw eQQ diff.....    0.32143 	 	    0.24286 
max  raw eQQ diff.....    0.73684 	 	    0.66667 

mean eCDF diff........    0.34941 	 	      0.225 
med  eCDF diff........       0.38 	 	        0.2 
max  eCDF diff........       0.48 	 	        0.4 

var ratio (Tr/Co).....     2.4512 	 	     2.8999 
T-test p-value........   0.011232 	 	   0.046324 
KS Bootstrap p-value..       0.04 	 	      0.317 
KS Naive p-value......   0.074398 	 	    0.40047 
KS Statistic..........       0.48 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.6043 	 	     2.5122 
std mean diff.........    -104.96 	 	     -96.57 

mean raw eQQ diff.....     1.0691 	 	     1.0602 
med  raw eQQ diff.....    0.95821 	 	    0.99668 
max  raw eQQ diff.....     2.3128 	 	      2.227 

mean eCDF diff........    0.22625 	 	       0.18 
med  eCDF diff........       0.23 	 	        0.2 
max  eCDF diff........        0.4 	 	        0.3 

var ratio (Tr/Co).....    0.69226 	 	    0.53383 
T-test p-value........   0.015659 	 	   0.069804 
KS Bootstrap p-value..      0.137 	 	       0.72 
KS Naive p-value......    0.20319 	 	     0.7591 
KS Statistic..........        0.4 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.16271 	 	    0.20262 
std mean diff.........     40.098 	 	       30.4 

mean raw eQQ diff.....     0.1643 	 	    0.16539 
med  raw eQQ diff.....   0.066871 	 	   0.036905 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10421 	 	    0.11111 
med  eCDF diff........       0.08 	 	        0.1 
max  eCDF diff........       0.26 	 	        0.3 

var ratio (Tr/Co).....     3.9942 	 	     4.1403 
T-test p-value........    0.25237 	 	    0.22694 
KS Bootstrap p-value..       0.51 	 	      0.573 
KS Naive p-value......    0.71974 	 	     0.7591 
KS Statistic..........       0.26 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.29086 	 	    0.30578 
std mean diff.........     46.479 	 	     40.233 

mean raw eQQ diff.....    0.13906 	 	    0.10122 
med  raw eQQ diff.....    0.13393 	 	    0.05525 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........      0.185 	 	     0.1375 
med  eCDF diff........       0.18 	 	        0.1 
max  eCDF diff........       0.46 	 	        0.3 

var ratio (Tr/Co).....     1.5186 	 	     2.4746 
T-test p-value........    0.21206 	 	    0.34636 
KS Bootstrap p-value..       0.06 	 	      0.656 
KS Naive p-value......   0.097313 	 	     0.7591 
KS Statistic..........       0.46 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.8776 	 	     2.9224 
std mean diff.........    -69.573 	 	    -77.864 

mean raw eQQ diff.....    0.63087 	 	    0.70381 
med  raw eQQ diff.....    0.50388 	 	    0.52897 
max  raw eQQ diff.....     1.8581 	 	     1.7732 

mean eCDF diff........    0.16353 	 	        0.2 
med  eCDF diff........       0.16 	 	        0.2 
max  eCDF diff........       0.32 	 	        0.4 

var ratio (Tr/Co).....    0.27248 	 	    0.24072 
T-test p-value........    0.17153 	 	    0.22129 
KS Bootstrap p-value..      0.336 	 	      0.375 
KS Naive p-value......     0.4574 	 	    0.40047 
KS Statistic..........       0.32 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.18226 	 	    0.21649 
std mean diff.........     36.192 	 	     19.507 

mean raw eQQ diff.....   0.073648 	 	   0.094607 
med  raw eQQ diff.....   0.075458 	 	   0.089015 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.12667 	 	    0.13846 
med  eCDF diff........       0.12 	 	        0.1 
max  eCDF diff........       0.28 	 	        0.3 

var ratio (Tr/Co).....     1.5581 	 	     1.5405 
T-test p-value........    0.32477 	 	    0.48618 
KS Bootstrap p-value..      0.462 	 	      0.679 
KS Naive p-value......    0.62998 	 	     0.7591 
KS Statistic..........       0.28 	 	        0.3 


Before Matching Minimum p.value: 0.011232 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.046324 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2971   0.6051   0.3080           0.1652   1.0136  1.8647  .      
ave.log.duration.prev5          2.5122   1.4520   -1.0602          0.6148   -0.8057 -1.7244 .      
ave.outcome.prev5               0.2026   0.3277   0.1251           0.1042   0.3858  1.1999         
ForceUS.prop.prev10             0.3058   0.4019   0.0961           0.1014   0.4802  0.9479         
ave.log.duration.prev10         2.9224   2.5009   -0.4215          0.3473   -0.4850 -1.2136        
ave.outcome.prev10              0.2165   0.2565   0.0400           0.0566   0.2148  0.7078         
---Overall Test---
      chisquare df p.value
strat      4.84  6   0.564
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     22 
$p.values
ForceUS     NPC 
  0.285   0.285 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2388393 38.2217262  0.1785714 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3293498 54.7029304  0.2810348 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 12.658482   1.162973   9.267113 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.713583   0.756669   1.675519 

Closed Testing
Intersection 1 of 7 

*** primary none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.1450904 77.1140965  0.0525973 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.077             0.021             0.255             0.102             0.021             0.255             0.016 

*** primary none FALSE harmonic ***

*** primary none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 21.473376   2.327906   8.579710 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.077             0.024             0.227             0.094             0.032             0.227             0.029 

*** primary none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  1.817755   2.169487   1.197494 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.048             0.023             0.139             0.056             0.023             0.139             0.008 

*** primary none TRUE mean ***

*** primary none TRUE harmonic ***

*** primary none TRUE rank ***

*** primary none TRUE hlm ***

*** primary log.placebo FALSE ***


Fri Apr 24 16:48:22 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.124329e-01  1.130953e-01  1.261640e-01  1.946852e-01  2.704472e-01  2.779459e-01  4.004737e-01  4.004737e-01  4.004737e-01  7.590978e-01  7.590978e-01  9.882611e-01  

      1 	1.124329e-01  1.261640e-01  2.153572e-01  2.773846e-01  3.167643e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.606785e-01  7.590978e-01  7.590978e-01  9.882611e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.124329e-01  1.261640e-01  2.153572e-01  2.773846e-01  3.167643e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.606785e-01  7.590978e-01  7.590978e-01  9.882611e-01  

Parameters at the Solution:

 X[ 1] :	9.755040e+00
 X[ 2] :	6.222163e+01
 X[ 3] :	1.099707e+02
 X[ 4] :	2.633373e+02
 X[ 5] :	4.639213e+02
 X[ 6] :	8.363379e+02

Solution Found Generation 1
Number of Generations Run 12

Fri Apr 24 17:01:59 2015
Total run time : 0 hours 13 minutes and 37 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Hoover         1          0
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1    Bush, G. W.        24         20
6  Johnson, A.         5          5         Truman         6          4
7       Wilson        15         13 Bush, G. H. W.         8          5
8  Johnson, L.        22         15          Nixon        12          9
9       Carter         9          7          Obama         4          3
10     Clinton        24         10         Arthur         2          1

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.42274 
std mean diff.........     89.844 	 	     49.203 

mean raw eQQ diff.....    0.31915 	 	    0.18232 
med  raw eQQ diff.....    0.30952 	 	    0.14762 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.13077 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.5635 
T-test p-value........   0.022897 	 	    0.11243 
KS Bootstrap p-value..      0.059 	 	      0.629 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0247 
std mean diff.........     -99.26 	 	    -52.168 

mean raw eQQ diff.....     1.0072 	 	    0.59271 
med  raw eQQ diff.....    0.83552 	 	    0.45095 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.21209 	 	        0.2 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.4 

var ratio (Tr/Co).....    0.72059 	 	     1.6267 
T-test p-value........   0.019567 	 	    0.21536 
KS Bootstrap p-value..      0.191 	 	      0.345 
KS Naive p-value......    0.28036 	 	    0.40047 
KS Statistic..........    0.36667 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.26907 
std mean diff.........     32.526 	 	      14.25 

mean raw eQQ diff.....    0.12992 	 	   0.094397 
med  raw eQQ diff.....   0.054371 	 	   0.053697 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	      0.075 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	       2.17 
T-test p-value........    0.35058 	 	    0.27738 
KS Bootstrap p-value..      0.599 	 	      0.946 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.35953 
std mean diff.........     33.347 	 	     17.728 

mean raw eQQ diff.....   0.098807 	 	   0.042339 
med  raw eQQ diff.....   0.091521 	 	   0.051961 
max  raw eQQ diff.....    0.16667 	 	   0.071429 

mean eCDF diff........    0.15326 	 	   0.094118 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.93006 
T-test p-value........    0.37761 	 	    0.12616 
KS Bootstrap p-value..      0.073 	 	      0.701 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.3837 
std mean diff.........    -53.044 	 	     21.659 

mean raw eQQ diff.....    0.65346 	 	    0.18645 
med  raw eQQ diff.....    0.46361 	 	    0.12624 
max  raw eQQ diff.....     1.8581 	 	    0.50132 

mean eCDF diff........    0.16728 	 	    0.14737 
med  eCDF diff........    0.16481 	 	        0.1 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	     1.2406 
T-test p-value........    0.28676 	 	    0.31676 
KS Bootstrap p-value..      0.214 	 	      0.324 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.24139 
std mean diff.........     19.565 	 	     7.3728 

mean raw eQQ diff.....   0.060546 	 	   0.052272 
med  raw eQQ diff.....   0.058442 	 	   0.047421 
max  raw eQQ diff.....    0.11538 	 	    0.11429 

mean eCDF diff........   0.087923 	 	   0.093333 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.4 

var ratio (Tr/Co).....      1.041 	 	    0.68463 
T-test p-value........    0.60255 	 	    0.56068 
KS Bootstrap p-value..      0.555 	 	      0.319 
KS Naive p-value......    0.77584 	 	    0.40047 
KS Statistic..........    0.24444 	 	        0.4 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11243 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.42274 
std mean diff.........     89.844 	 	     49.203 

mean raw eQQ diff.....    0.31915 	 	    0.18232 
med  raw eQQ diff.....    0.30952 	 	    0.14762 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.13077 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.5635 
T-test p-value........   0.022897 	 	    0.11243 
KS Bootstrap p-value..      0.065 	 	      0.621 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0247 
std mean diff.........     -99.26 	 	    -52.168 

mean raw eQQ diff.....     1.0072 	 	    0.59271 
med  raw eQQ diff.....    0.83552 	 	    0.45095 
max  raw eQQ diff.....     2.3128 	 	     1.9004 

mean eCDF diff........    0.21209 	 	        0.2 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.4 

var ratio (Tr/Co).....    0.72059 	 	     1.6267 
T-test p-value........   0.019567 	 	    0.21536 
KS Bootstrap p-value..      0.175 	 	      0.339 
KS Naive p-value......    0.28036 	 	    0.40047 
KS Statistic..........    0.36667 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.26907 
std mean diff.........     32.526 	 	      14.25 

mean raw eQQ diff.....    0.12992 	 	   0.094397 
med  raw eQQ diff.....   0.054371 	 	   0.053697 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	      0.075 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	       2.17 
T-test p-value........    0.35058 	 	    0.27738 
KS Bootstrap p-value..      0.593 	 	      0.939 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.35953 
std mean diff.........     33.347 	 	     17.728 

mean raw eQQ diff.....   0.098807 	 	   0.042339 
med  raw eQQ diff.....   0.091521 	 	   0.051961 
max  raw eQQ diff.....    0.16667 	 	   0.071429 

mean eCDF diff........    0.15326 	 	   0.094118 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.93006 
T-test p-value........    0.37761 	 	    0.12616 
KS Bootstrap p-value..      0.087 	 	       0.69 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.3837 
std mean diff.........    -53.044 	 	     21.659 

mean raw eQQ diff.....    0.65346 	 	    0.18645 
med  raw eQQ diff.....    0.46361 	 	    0.12624 
max  raw eQQ diff.....     1.8581 	 	    0.50132 

mean eCDF diff........    0.16728 	 	    0.14737 
med  eCDF diff........    0.16481 	 	        0.1 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	     1.2406 
T-test p-value........    0.28676 	 	    0.31676 
KS Bootstrap p-value..      0.196 	 	      0.341 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.24139 
std mean diff.........     19.565 	 	     7.3728 

mean raw eQQ diff.....   0.060546 	 	   0.052272 
med  raw eQQ diff.....   0.058442 	 	   0.047421 
max  raw eQQ diff.....    0.11538 	 	    0.11429 

mean eCDF diff........   0.087923 	 	   0.093333 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.4 

var ratio (Tr/Co).....      1.041 	 	    0.68463 
T-test p-value........    0.60255 	 	    0.56068 
KS Bootstrap p-value..      0.572 	 	      0.326 
KS Naive p-value......    0.77584 	 	    0.40047 
KS Statistic..........    0.24444 	 	        0.4 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11243 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4227   0.6051   0.1823           0.1186   0.5434  1.5372         
ave.log.duration.prev5          2.0247   1.4520   -0.5727          0.4663   -0.5806 -1.2282        
ave.outcome.prev5               0.2691   0.3277   0.0586           0.0540   0.1667  1.0859         
ForceUS.prop.prev10             0.3595   0.4019   0.0423           0.0285   0.1740  1.4874         
ave.log.duration.prev10         2.3837   2.5009   0.1172           0.1167   0.2279  1.0050         
ave.outcome.prev10              0.2414   0.2565   0.0151           0.0255   0.0665  0.5934         
---Overall Test---
      chisquare df p.value
strat      3.95  6   0.683
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     16 
$p.values
ForceUS     NPC 
  0.695   0.695 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.03847930 72.17577343  0.07264891 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1559091 62.4400253  0.1735101 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  3.116823   1.526070   6.221179 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.9161902  1.0836691  1.2296191 

Closed Testing
Intersection 1 of 7 

*** primary log.placebo TRUE ***


Fri Apr 24 18:27:36 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.016624e-02  9.019508e-02  1.074283e-01  1.193124e-01  1.358596e-01  1.640792e-01  4.004737e-01  4.004737e-01  5.745424e-01  7.590978e-01  7.590978e-01  9.882611e-01  

      1 	9.022306e-02  1.036616e-01  1.290052e-01  1.297106e-01  1.640792e-01  2.957751e-01  4.004737e-01  7.208728e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
9.022306e-02  1.036616e-01  1.290052e-01  1.297106e-01  1.640792e-01  2.957751e-01  4.004737e-01  7.208728e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  

Parameters at the Solution:

 X[ 1] :	1.106358e+02
 X[ 2] :	9.442196e+02
 X[ 3] :	2.774631e+02
 X[ 4] :	1.577928e+02
 X[ 5] :	4.526013e+01
 X[ 6] :	1.788095e+02

Solution Found Generation 1
Number of Generations Run 12

Fri Apr 24 18:43:29 2015
Total run time : 0 hours 15 minutes and 53 seconds
         NameS PrimMIDsS AloneMIDsS        NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Adams, J. Q.         1          0
2       Monroe         6          6 Adams, J. Q.         1          0
3      Jackson         4          4 Adams, J. Q.         1          0
4        Tyler         2          2        Nixon        12          9
5         Polk         1          1        Obama         4          3
6  Johnson, A.         5          5    Cleveland         9          6
7       Wilson        15         13     Buchanan         6          5
8  Johnson, L.        22         15     Buchanan         6          5
9       Carter         9          7       Truman         6          4
10     Clinton        24         10       Truman         6          4

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	     0.5181 
std mean diff.........     89.844 	 	     23.471 

mean raw eQQ diff.....    0.31915 	 	    0.09697 
med  raw eQQ diff.....    0.30952 	 	   0.042857 
max  raw eQQ diff.....        0.7 	 	    0.30303 

mean eCDF diff........    0.30638 	 	   0.072727 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	    0.97826 
T-test p-value........   0.022897 	 	    0.12971 
KS Bootstrap p-value..      0.059 	 	      0.915 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.8352 
std mean diff.........     -99.26 	 	    -34.909 

mean raw eQQ diff.....     1.0072 	 	    0.44937 
med  raw eQQ diff.....    0.83552 	 	    0.16887 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.11429 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     3.7382 
T-test p-value........   0.019567 	 	   0.090223 
KS Bootstrap p-value..      0.191 	 	      0.643 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.21548 
std mean diff.........     32.526 	 	     27.275 

mean raw eQQ diff.....    0.12992 	 	     0.1408 
med  raw eQQ diff.....   0.054371 	 	   0.071429 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.09 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.3 

var ratio (Tr/Co).....     3.2395 	 	     3.7269 
T-test p-value........    0.35058 	 	    0.12901 
KS Bootstrap p-value..      0.599 	 	      0.604 
KS Naive p-value......    0.85035 	 	     0.7591 
KS Statistic..........    0.22593 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.47944 
std mean diff.........     33.347 	 	    -32.483 

mean raw eQQ diff.....   0.098807 	 	    0.12983 
med  raw eQQ diff.....   0.091521 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	        0.1 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.41902 
T-test p-value........    0.37761 	 	    0.29578 
KS Bootstrap p-value..      0.073 	 	       0.66 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.1822 
std mean diff.........    -53.044 	 	     58.871 

mean raw eQQ diff.....    0.65346 	 	     0.3915 
med  raw eQQ diff.....    0.46361 	 	     0.2409 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	    0.21333 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.67394 
T-test p-value........    0.28676 	 	    0.10366 
KS Bootstrap p-value..      0.214 	 	      0.114 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.27179 
std mean diff.........     19.565 	 	    -7.4394 

mean raw eQQ diff.....   0.060546 	 	   0.093306 
med  raw eQQ diff.....   0.058442 	 	   0.096886 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	    0.14545 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.4 

var ratio (Tr/Co).....      1.041 	 	     0.4458 
T-test p-value........    0.60255 	 	    0.72087 
KS Bootstrap p-value..      0.555 	 	      0.296 
KS Naive p-value......    0.77584 	 	    0.40047 
KS Statistic..........    0.24444 	 	        0.4 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.090223 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	     0.5181 
std mean diff.........     89.844 	 	     23.471 

mean raw eQQ diff.....    0.31915 	 	    0.09697 
med  raw eQQ diff.....    0.30952 	 	   0.042857 
max  raw eQQ diff.....        0.7 	 	    0.30303 

mean eCDF diff........    0.30638 	 	   0.072727 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	    0.97826 
T-test p-value........   0.022897 	 	    0.12971 
KS Bootstrap p-value..      0.065 	 	      0.908 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.8352 
std mean diff.........     -99.26 	 	    -34.909 

mean raw eQQ diff.....     1.0072 	 	    0.44937 
med  raw eQQ diff.....    0.83552 	 	    0.16887 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.11429 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     3.7382 
T-test p-value........   0.019567 	 	   0.090223 
KS Bootstrap p-value..      0.175 	 	      0.661 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.21548 
std mean diff.........     32.526 	 	     27.275 

mean raw eQQ diff.....    0.12992 	 	     0.1408 
med  raw eQQ diff.....   0.054371 	 	   0.071429 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.09 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.3 

var ratio (Tr/Co).....     3.2395 	 	     3.7269 
T-test p-value........    0.35058 	 	    0.12901 
KS Bootstrap p-value..      0.593 	 	      0.599 
KS Naive p-value......    0.85035 	 	     0.7591 
KS Statistic..........    0.22593 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.47944 
std mean diff.........     33.347 	 	    -32.483 

mean raw eQQ diff.....   0.098807 	 	    0.12983 
med  raw eQQ diff.....   0.091521 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	        0.1 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.41902 
T-test p-value........    0.37761 	 	    0.29578 
KS Bootstrap p-value..      0.087 	 	      0.651 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.1822 
std mean diff.........    -53.044 	 	     58.871 

mean raw eQQ diff.....    0.65346 	 	     0.3915 
med  raw eQQ diff.....    0.46361 	 	     0.2409 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	    0.21333 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.67394 
T-test p-value........    0.28676 	 	    0.10366 
KS Bootstrap p-value..      0.196 	 	      0.116 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.27179 
std mean diff.........     19.565 	 	    -7.4394 

mean raw eQQ diff.....   0.060546 	 	   0.093306 
med  raw eQQ diff.....   0.058442 	 	   0.096886 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	    0.14545 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.4 

var ratio (Tr/Co).....      1.041 	 	     0.4458 
T-test p-value........    0.60255 	 	    0.72087 
KS Bootstrap p-value..      0.572 	 	      0.291 
KS Naive p-value......    0.77584 	 	    0.40047 
KS Statistic..........    0.24444 	 	        0.4 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.090223 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.5181   0.6051   0.0870           0.0590   0.2334  1.4752         
ave.log.duration.prev5          1.8352   1.4520   -0.3833          0.2355   -0.4385 -1.6272        
ave.outcome.prev5               0.2155   0.3277   0.1122           0.0760   0.3425  1.4776         
ForceUS.prop.prev10             0.4794   0.4019   -0.0776          0.0741   -0.2496 -1.0474        
ave.log.duration.prev10         2.1822   2.5009   0.3187           0.2028   0.5283  1.5712         
ave.outcome.prev10              0.2718   0.2565   -0.0153          0.0417   -0.0584 -0.3662        
---Overall Test---
      chisquare df p.value
strat      6.25  6   0.395
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     37 
$p.values
ForceUS     NPC 
  0.381   0.381 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1609767 71.2845722  0.1108470 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.03646465 59.45391414  0.02767677 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
11.3488548  0.5426065  7.6319144 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.9035800  1.3250244  0.9222028 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs FALSE ***


Fri Apr 24 20:15:22 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.660742e-01  4.720683e-01  5.392346e-01  5.645198e-01  7.869298e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.754146e-01  4.018655e-01  6.691183e-01  6.958874e-01  7.869298e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.754146e-01  4.018655e-01  6.691183e-01  6.958874e-01  7.869298e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.969421e-01
 X[ 2] :	1.767011e+02
 X[ 3] :	2.673359e+02
 X[ 4] :	7.938923e+02
 X[ 5] :	2.559075e+02
 X[ 6] :	9.334657e+02
 X[ 7] :	1.104864e+02

Solution Found Generation 2
Number of Generations Run 13

Fri Apr 24 20:29:48 2015
Total run time : 0 hours 14 minutes and 26 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6        Pierce         7          7
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5 Roosevelt, T.         9          7
7       Wilson        15         13         Grant         7          6
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.4 
std mean diff.........    -37.295 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.096296 	 	          0 
med  eCDF diff........   0.096296 	 	          0 
max  eCDF diff........    0.19259 	 	          0 

var ratio (Tr/Co).....     1.0636 	 	          1 
T-test p-value........    0.32516 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1893.6 
std mean diff.........    -41.025 	 	     -11.95 

mean raw eQQ diff.....       27.1 	 	       14.2 
med  raw eQQ diff.....         26 	 	         14 
max  raw eQQ diff.....         56 	 	         24 

mean eCDF diff........    0.16346 	 	       0.11 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.3 

var ratio (Tr/Co).....     1.7622 	 	      1.442 
T-test p-value........    0.25944 	 	    0.40187 
KS Bootstrap p-value..      0.085 	 	      0.687 
KS Naive p-value......    0.10178 	 	    0.78693 
KS Statistic..........    0.42593 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.3 
std mean diff.........     -37.57 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.090741 	 	          0 
med  eCDF diff........   0.090741 	 	          0 
max  eCDF diff........    0.18148 	 	          0 

var ratio (Tr/Co).....        0.9 	 	          1 
T-test p-value........    0.33138 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     1.9552 
std mean diff.........    -8.8585 	 	    -8.9488 

mean raw eQQ diff.....    0.16356 	 	    0.44086 
med  raw eQQ diff.....    0.03126 	 	    0.33659 
max  raw eQQ diff.....    0.58779 	 	     1.0986 

mean eCDF diff........   0.074074 	 	    0.11429 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	     2.5519 
T-test p-value........    0.80643 	 	    0.69589 
KS Bootstrap p-value..      0.878 	 	      0.959 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	          7 
std mean diff.........    -20.716 	 	     -6.429 

mean raw eQQ diff.....        1.7 	 	        1.2 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........   0.087407 	 	   0.081818 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.2 

var ratio (Tr/Co).....     1.0745 	 	     1.1025 
T-test p-value........    0.58014 	 	    0.37541 
KS Bootstrap p-value..      0.433 	 	      0.932 
KS Naive p-value......    0.69393 	 	    0.98826 
KS Statistic..........    0.26296 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     5.1433 
std mean diff.........     11.067 	 	     11.195 

mean raw eQQ diff.....     1.0609 	 	    0.52895 
med  raw eQQ diff.....    0.61465 	 	    0.26694 
max  raw eQQ diff.....     4.1068 	 	     1.2786 

mean eCDF diff........    0.08165 	 	   0.092308 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.2 

var ratio (Tr/Co).....    0.99841 	 	     1.0152 
T-test p-value........    0.76884 	 	    0.66912 
KS Bootstrap p-value..      0.649 	 	      0.919 
KS Naive p-value......    0.88926 	 	    0.98826 
KS Statistic..........    0.21481 	 	        0.2 


Before Matching Minimum p.value: 0.085 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.37541 
Variable Name(s): nMIDs.prev5  Number(s): 6 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.24937 
std mean diff.........     89.844 	 	     95.993 

mean raw eQQ diff.....    0.31915 	 	     0.3557 
med  raw eQQ diff.....    0.30952 	 	    0.34524 
max  raw eQQ diff.....        0.7 	 	    0.66667 

mean eCDF diff........    0.30638 	 	    0.33636 
med  eCDF diff........    0.32778 	 	        0.4 
max  eCDF diff........    0.42963 	 	        0.5 

var ratio (Tr/Co).....     1.7162 	 	     1.3497 
T-test p-value........   0.022897 	 	   0.075183 
KS Bootstrap p-value..      0.065 	 	      0.121 
KS Naive p-value......    0.13519 	 	    0.16408 
KS Statistic..........    0.42963 	 	        0.5 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.7236 
std mean diff.........     -99.26 	 	    -115.83 

mean raw eQQ diff.....     1.0072 	 	     1.2717 
med  raw eQQ diff.....    0.83552 	 	     1.2223 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21209 	 	    0.21667 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.4 

var ratio (Tr/Co).....    0.72059 	 	    0.58808 
T-test p-value........   0.019567 	 	   0.078243 
KS Bootstrap p-value..      0.175 	 	      0.329 
KS Naive p-value......    0.28036 	 	    0.40047 
KS Statistic..........    0.36667 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.23778 
std mean diff.........     32.526 	 	     21.854 

mean raw eQQ diff.....    0.12992 	 	    0.10356 
med  raw eQQ diff.....   0.054371 	 	    0.05671 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.080117 	 	      0.075 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.0165 
T-test p-value........    0.35058 	 	     0.6175 
KS Bootstrap p-value..      0.593 	 	      0.926 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	     0.3651 
std mean diff.........     33.347 	 	     15.394 

mean raw eQQ diff.....   0.098807 	 	   0.070098 
med  raw eQQ diff.....   0.091521 	 	   0.053447 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.15326 	 	      0.125 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.75728 
T-test p-value........    0.37761 	 	    0.76638 
KS Bootstrap p-value..      0.087 	 	      0.674 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.8259 
std mean diff.........    -53.044 	 	    -60.021 

mean raw eQQ diff.....    0.65346 	 	    0.76623 
med  raw eQQ diff.....    0.46361 	 	    0.53072 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.16728 	 	    0.18947 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.17846 
T-test p-value........    0.28676 	 	    0.43718 
KS Bootstrap p-value..      0.196 	 	      0.338 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.25218 
std mean diff.........     19.565 	 	     2.1133 

mean raw eQQ diff.....   0.060546 	 	   0.071772 
med  raw eQQ diff.....   0.058442 	 	   0.077381 
max  raw eQQ diff.....    0.11538 	 	    0.11905 

mean eCDF diff........   0.087923 	 	   0.086667 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.75738 
T-test p-value........    0.60255 	 	    0.96365 
KS Bootstrap p-value..      0.572 	 	      0.955 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.075183 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.24937  0.60506  0.35570          0.20960  1.02888  1.69705  .       
ave.log.duration.prev5         2.72363  1.45196  -1.27167         0.75600  -0.99684 -1.68211 .       
ave.outcome.prev5              0.23778  0.32771  0.08992          0.17618  0.25269  0.51040          
ForceUS.prop.prev10            0.36510  0.40187  0.03676          0.12061  0.14291  0.30482          
ave.log.duration.prev10        2.82585  2.50094  -0.32492         0.41264  -0.33032 -0.78741         
ave.outcome.prev10             0.25218  0.25652  0.00434          0.09255  0.01962  0.04685          
---Overall Test---
      chisquare df p.value
strat      8.34  6   0.214
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      3 
$p.values
ForceUS     NPC 
  0.933   0.933 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19362425 97.58466161  0.01737654 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2076046 78.1901335  0.1171429 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 16.942122   1.572074   2.240658 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9743742  2.1198292  0.7132092 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs TRUE ***


Fri Apr 24 22:06:34 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.004737e-01  4.046721e-01  4.231311e-01  4.348945e-01  4.665165e-01  5.714912e-01  5.714912e-01  7.590978e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.004737e-01  4.046721e-01  4.231311e-01  4.348945e-01  4.665165e-01  5.714912e-01  5.714912e-01  7.590978e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	1.520819e+02
 X[ 2] :	3.597394e+02
 X[ 3] :	2.326399e+02
 X[ 4] :	1.350197e+01
 X[ 5] :	9.959543e+02
 X[ 6] :	1.817994e+02
 X[ 7] :	3.911516e+00

Solution Found Generation 1
Number of Generations Run 11

Fri Apr 24 22:16:05 2015
Total run time : 0 hours 9 minutes and 31 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6      Fillmore         3          3
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Fillmore         3          3
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7        Reagan        33         24
10     Clinton        24         10          Ford         4          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.4 
std mean diff.........    -37.295 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.096296 	 	          0 
med  eCDF diff........   0.096296 	 	          0 
max  eCDF diff........    0.19259 	 	          0 

var ratio (Tr/Co).....     1.0636 	 	          1 
T-test p-value........    0.32516 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1889.8 
std mean diff.........    -41.025 	 	    -6.5442 

mean raw eQQ diff.....       27.1 	 	         11 
med  raw eQQ diff.....         26 	 	       10.5 
max  raw eQQ diff.....         56 	 	         20 

mean eCDF diff........    0.16346 	 	   0.082353 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.2 

var ratio (Tr/Co).....     1.7622 	 	     1.2061 
T-test p-value........    0.25944 	 	    0.46652 
KS Bootstrap p-value..      0.085 	 	      0.968 
KS Naive p-value......    0.10178 	 	    0.98826 
KS Statistic..........    0.42593 	 	        0.2 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.4 
std mean diff.........     -37.57 	 	    -20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.090741 	 	       0.05 
med  eCDF diff........   0.090741 	 	       0.05 
max  eCDF diff........    0.18148 	 	        0.1 

var ratio (Tr/Co).....        0.9 	 	      0.875 
T-test p-value........    0.33138 	 	    0.57149 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     1.9825 
std mean diff.........    -8.8585 	 	    -11.101 

mean raw eQQ diff.....    0.16356 	 	    0.33492 
med  raw eQQ diff.....    0.03126 	 	    0.24958 
max  raw eQQ diff.....    0.58779 	 	     1.0986 

mean eCDF diff........   0.074074 	 	   0.081818 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	     1.9219 
T-test p-value........    0.80643 	 	    0.43489 
KS Bootstrap p-value..      0.878 	 	      0.931 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        5.9 
std mean diff.........    -20.716 	 	     11.251 

mean raw eQQ diff.....        1.7 	 	        1.3 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........   0.087407 	 	        0.1 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     0.9099 
T-test p-value........    0.58014 	 	    0.40467 
KS Bootstrap p-value..      0.433 	 	      0.611 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     4.5372 
std mean diff.........     11.067 	 	      36.08 

mean raw eQQ diff.....     1.0609 	 	     1.9559 
med  raw eQQ diff.....    0.61465 	 	      1.269 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	    0.20909 
med  eCDF diff........   0.075926 	 	        0.2 
max  eCDF diff........    0.21481 	 	        0.4 

var ratio (Tr/Co).....    0.99841 	 	    0.60624 
T-test p-value........    0.76884 	 	    0.42313 
KS Bootstrap p-value..      0.649 	 	      0.287 
KS Naive p-value......    0.88926 	 	    0.40047 
KS Statistic..........    0.21481 	 	        0.4 


Before Matching Minimum p.value: 0.085 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.287 
Variable Name(s): TermYrsAdj  Number(s): 7 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.26841 
std mean diff.........     89.844 	 	     90.852 

mean raw eQQ diff.....    0.31915 	 	    0.33665 
med  raw eQQ diff.....    0.30952 	 	    0.31818 
max  raw eQQ diff.....        0.7 	 	    0.66667 

mean eCDF diff........    0.30638 	 	        0.3 
med  eCDF diff........    0.32778 	 	        0.3 
max  eCDF diff........    0.42963 	 	        0.4 

var ratio (Tr/Co).....     1.7162 	 	     1.3615 
T-test p-value........   0.022897 	 	   0.029202 
KS Bootstrap p-value..      0.065 	 	       0.28 
KS Naive p-value......    0.13519 	 	    0.40047 
KS Statistic..........    0.42963 	 	        0.4 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     3.2808 
std mean diff.........     -99.26 	 	    -166.58 

mean raw eQQ diff.....     1.0072 	 	     1.8288 
med  raw eQQ diff.....    0.83552 	 	     1.9552 
max  raw eQQ diff.....     2.3128 	 	     2.7795 

mean eCDF diff........    0.21209 	 	    0.29333 
med  eCDF diff........    0.21852 	 	        0.3 
max  eCDF diff........    0.36667 	 	        0.5 

var ratio (Tr/Co).....    0.72059 	 	    0.46821 
T-test p-value........   0.019567 	 	   0.023724 
KS Bootstrap p-value..      0.175 	 	      0.135 
KS Naive p-value......    0.28036 	 	    0.16408 
KS Statistic..........    0.36667 	 	        0.5 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.11397 
std mean diff.........     32.526 	 	     51.943 

mean raw eQQ diff.....    0.12992 	 	    0.21373 
med  raw eQQ diff.....   0.054371 	 	    0.13853 
max  raw eQQ diff.....        0.5 	 	    0.66667 

mean eCDF diff........   0.080117 	 	    0.17778 
med  eCDF diff........   0.055556 	 	        0.2 
max  eCDF diff........    0.22593 	 	        0.3 

var ratio (Tr/Co).....     3.2395 	 	     4.3445 
T-test p-value........    0.35058 	 	    0.15979 
KS Bootstrap p-value..      0.593 	 	      0.525 
KS Naive p-value......    0.85035 	 	     0.7591 
KS Statistic..........    0.22593 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.50286 
std mean diff.........     33.347 	 	    -42.286 

mean raw eQQ diff.....   0.098807 	 	    0.11138 
med  raw eQQ diff.....   0.091521 	 	   0.071154 
max  raw eQQ diff.....    0.16667 	 	    0.25926 

mean eCDF diff........    0.15326 	 	    0.15714 
med  eCDF diff........    0.12222 	 	       0.15 
max  eCDF diff........    0.41852 	 	        0.4 

var ratio (Tr/Co).....     1.0618 	 	    0.82503 
T-test p-value........    0.37761 	 	   0.072529 
KS Bootstrap p-value..      0.087 	 	      0.303 
KS Naive p-value......     0.1551 	 	    0.40047 
KS Statistic..........    0.41852 	 	        0.4 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     3.2694 
std mean diff.........    -53.044 	 	    -141.96 

mean raw eQQ diff.....    0.65346 	 	     0.9932 
med  raw eQQ diff.....    0.46361 	 	     1.0315 
max  raw eQQ diff.....     1.8581 	 	     1.8495 

mean eCDF diff........    0.16728 	 	    0.20625 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	     0.1728 
T-test p-value........    0.28676 	 	     0.0536 
KS Bootstrap p-value..      0.196 	 	      0.137 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.27678 
std mean diff.........     19.565 	 	    -9.8722 

mean raw eQQ diff.....   0.060546 	 	    0.11551 
med  raw eQQ diff.....   0.058442 	 	    0.10714 
max  raw eQQ diff.....    0.11538 	 	    0.20833 

mean eCDF diff........   0.087923 	 	    0.14615 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.4 

var ratio (Tr/Co).....      1.041 	 	    0.81936 
T-test p-value........    0.60255 	 	    0.67856 
KS Bootstrap p-value..      0.572 	 	      0.285 
KS Naive p-value......    0.77584 	 	    0.40047 
KS Statistic..........    0.24444 	 	        0.4 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.023724 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2684   0.6051   0.3367           0.1680   0.9756  2.0038  *      
ave.log.duration.prev5          3.2808   1.4520   -1.8288          0.8874   -1.3303 -2.0608 *      
ave.outcome.prev5               0.1140   0.3277   0.2137           0.1550   0.6623  1.3790         
ForceUS.prop.prev10             0.5029   0.4019   -0.1010          0.0590   -0.4021 -1.7104 .      
ave.log.duration.prev10         3.2694   2.5009   -0.7685          0.4230   -0.7706 -1.8167 .      
ave.outcome.prev10              0.2768   0.2565   -0.0203          0.0477   -0.0937 -0.4243        
---Overall Test---
      chisquare df p.value
strat      7.06  6   0.315
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     15 
$p.values
ForceUS     NPC 
  0.704   0.704 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2061950 82.4784391  0.0469177 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2680808 63.2644192  0.1733333 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 16.804889   1.704374   3.935166 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5764760  1.6637947  0.8739225 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs FALSE ***


Fri Apr 24 23:54:18 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.586101e-02  7.855289e-02  8.828819e-02  9.036579e-02  1.393315e-01  1.640792e-01  3.031192e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.315862e-01  4.004737e-01  5.392943e-01  5.966992e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.176414e-01  8.709416e-01  8.901506e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.993655e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	8.058462e-02  8.956938e-02  1.204369e-01  1.746196e-01  2.006550e-01  2.922451e-01  2.928555e-01  4.004737e-01  4.004737e-01  5.313687e-01  6.358716e-01  6.792962e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.333260e-01  8.510833e-01  9.688685e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	8.734117e-02  1.008312e-01  1.079883e-01  1.749174e-01  2.922451e-01  3.193156e-01  3.193156e-01  3.808562e-01  3.808562e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.182940e-01  5.056933e-01  5.145448e-01  6.876669e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.619230e-01  7.869298e-01  8.521899e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	1.072083e-01  1.207201e-01  1.314554e-01  2.554003e-01  3.041447e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.400393e-01  4.490747e-01  4.697963e-01  5.447829e-01  6.222893e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.517391e-01  9.122418e-01  9.381164e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.072083e-01  1.207201e-01  1.314554e-01  2.554003e-01  3.041447e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.400393e-01  4.490747e-01  4.697963e-01  5.447829e-01  6.222893e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.517391e-01  9.122418e-01  9.381164e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.380723e+02
 X[ 2] :	3.683953e+02
 X[ 3] :	1.879341e+02
 X[ 4] :	4.395283e+02
 X[ 5] :	8.805514e+02
 X[ 6] :	9.603405e+02
 X[ 7] :	1.057917e+02
 X[ 8] :	5.028452e+01
 X[ 9] :	7.452784e+01
 X[10] :	2.780538e-01
 X[11] :	1.763143e+02
 X[12] :	2.748963e+02
 X[13] :	4.909424e+02
 X[14] :	2.259778e+01
 X[15] :	2.039381e+02
 X[16] :	5.781609e+02
 X[17] :	7.180206e+02
 X[18] :	8.526044e+02

Solution Found Generation 5
Number of Generations Run 16

Sat Apr 25 00:22:27 2015
Total run time : 0 hours 28 minutes and 9 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1        Arthur         2          1
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.5 
std mean diff.........    -37.295 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	       0.05 
med  eCDF diff........   0.096296 	 	       0.05 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....     1.0636 	 	       0.96 
T-test p-value........    0.32516 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1902.8 
std mean diff.........    -41.025 	 	    -25.039 

mean raw eQQ diff.....       27.1 	 	       18.6 
med  raw eQQ diff.....         26 	 	         18 
max  raw eQQ diff.....         56 	 	         36 

mean eCDF diff........    0.16346 	 	       0.11 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.3 

var ratio (Tr/Co).....     1.7622 	 	     1.2219 
T-test p-value........    0.25944 	 	    0.13146 
KS Bootstrap p-value..      0.085 	 	      0.705 
KS Naive p-value......    0.10178 	 	    0.78693 
KS Statistic..........    0.42593 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.3 
std mean diff.........     -37.57 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.090741 	 	          0 
med  eCDF diff........   0.090741 	 	          0 
max  eCDF diff........    0.18148 	 	          0 

var ratio (Tr/Co).....        0.9 	 	          1 
T-test p-value........    0.33138 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     1.8817 
std mean diff.........    -8.8585 	 	    -3.1654 

mean raw eQQ diff.....    0.16356 	 	    0.27352 
med  raw eQQ diff.....    0.03126 	 	    0.29309 
max  raw eQQ diff.....    0.58779 	 	    0.69315 

mean eCDF diff........   0.074074 	 	   0.064286 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	     1.5082 
T-test p-value........    0.80643 	 	    0.91224 
KS Bootstrap p-value..      0.878 	 	      0.961 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	          7 
std mean diff.........    -20.716 	 	     -6.429 

mean raw eQQ diff.....        1.7 	 	        1.2 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........   0.087407 	 	   0.076923 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.2 

var ratio (Tr/Co).....     1.0745 	 	     1.0069 
T-test p-value........    0.58014 	 	    0.54478 
KS Bootstrap p-value..      0.433 	 	      0.948 
KS Naive p-value......    0.69393 	 	    0.98826 
KS Statistic..........    0.26296 	 	        0.2 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     4.4936 
std mean diff.........     11.067 	 	     37.867 

mean raw eQQ diff.....     1.0609 	 	     1.8982 
med  raw eQQ diff.....    0.61465 	 	     1.2115 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	    0.20714 
med  eCDF diff........   0.075926 	 	        0.2 
max  eCDF diff........    0.21481 	 	        0.4 

var ratio (Tr/Co).....    0.99841 	 	    0.62495 
T-test p-value........    0.76884 	 	    0.30414 
KS Bootstrap p-value..      0.649 	 	      0.316 
KS Naive p-value......    0.88926 	 	    0.40047 
KS Statistic..........    0.21481 	 	        0.4 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.36613 
std mean diff.........     89.844 	 	     64.483 

mean raw eQQ diff.....    0.31915 	 	    0.23894 
med  raw eQQ diff.....    0.30952 	 	    0.23636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.18182 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.2667 
T-test p-value........   0.022897 	 	    0.10721 
KS Bootstrap p-value..      0.059 	 	       0.61 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.4274 
std mean diff.........     -99.26 	 	    -88.853 

mean raw eQQ diff.....     1.0072 	 	    0.97548 
med  raw eQQ diff.....    0.83552 	 	    0.86708 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21209 	 	    0.17647 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     0.5406 
T-test p-value........   0.019567 	 	    0.12072 
KS Bootstrap p-value..      0.191 	 	       0.65 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.20381 
std mean diff.........     32.526 	 	     30.111 

mean raw eQQ diff.....    0.12992 	 	     0.1239 
med  raw eQQ diff.....   0.054371 	 	   0.022619 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.4305 
T-test p-value........    0.35058 	 	    0.44907 
KS Bootstrap p-value..      0.599 	 	      0.899 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.41604 
std mean diff.........     33.347 	 	    -5.9324 

mean raw eQQ diff.....   0.098807 	 	   0.061225 
med  raw eQQ diff.....   0.091521 	 	    0.04881 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.15326 	 	     0.0875 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.74218 
T-test p-value........    0.37761 	 	    0.85174 
KS Bootstrap p-value..      0.073 	 	      0.962 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.7159 
std mean diff.........    -53.044 	 	    -39.718 

mean raw eQQ diff.....    0.65346 	 	     0.5081 
med  raw eQQ diff.....    0.46361 	 	    0.33961 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16728 	 	    0.17895 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.27971 
T-test p-value........    0.28676 	 	     0.4698 
KS Bootstrap p-value..      0.214 	 	      0.343 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.26057 
std mean diff.........     19.565 	 	    -1.9736 

mean raw eQQ diff.....   0.060546 	 	   0.073386 
med  raw eQQ diff.....   0.058442 	 	   0.077381 
max  raw eQQ diff.....    0.11538 	 	    0.11905 

mean eCDF diff........   0.087923 	 	    0.10714 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.78232 
T-test p-value........    0.60255 	 	    0.93812 
KS Bootstrap p-value..      0.555 	 	      0.959 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	        0.1 
std mean diff.........    -15.226 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.024074 	 	          0 
med  eCDF diff........   0.024074 	 	          0 
max  eCDF diff........   0.048148 	 	          0 

var ratio (Tr/Co).....    0.76304 	 	          1 
T-test p-value........    0.69735 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.3702 
std mean diff.........    -49.221 	 	    -20.313 

mean raw eQQ diff.....    0.82964 	 	    0.47515 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.12926 	 	   0.055556 
med  eCDF diff........    0.07037 	 	          0 
max  eCDF diff........    0.45556 	 	        0.3 

var ratio (Tr/Co).....    0.96125 	 	     1.4537 
T-test p-value........    0.20414 	 	    0.44004 
KS Bootstrap p-value..      0.032 	 	      0.521 
KS Naive p-value......   0.096734 	 	     0.7591 
KS Statistic..........    0.45556 	 	        0.3 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     33.575 
std mean diff.........    -22.512 	 	     -6.856 

mean raw eQQ diff.....     6.2606 	 	     3.3538 
med  raw eQQ diff.....      3.276 	 	     2.3712 
max  raw eQQ diff.....     18.417 	 	          6 

mean eCDF diff........   0.076144 	 	   0.083333 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.2 

var ratio (Tr/Co).....     1.0418 	 	    0.81304 
T-test p-value........    0.54958 	 	    0.62229 
KS Bootstrap p-value..      0.553 	 	      0.978 
KS Naive p-value......    0.72724 	 	    0.98826 
KS Statistic..........    0.25556 	 	        0.2 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.3 
std mean diff.........     20.082 	 	     19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.051852 	 	       0.05 
med  eCDF diff........   0.051852 	 	       0.05 
max  eCDF diff........     0.1037 	 	        0.1 

var ratio (Tr/Co).....     1.2316 	 	     1.1429 
T-test p-value........    0.58599 	 	    0.31932 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       14.4 
std mean diff.........    -2.4179 	 	     10.095 

mean raw eQQ diff.....        2.6 	 	        2.5 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.068921 	 	       0.08 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....      1.332 	 	     1.2832 
T-test p-value........    0.94701 	 	     0.2554 
KS Bootstrap p-value..      0.739 	 	      0.957 
KS Naive p-value......    0.93225 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 

After Matching Minimum p.value: 0.10721 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.36613 
std mean diff.........     89.844 	 	     64.483 

mean raw eQQ diff.....    0.31915 	 	    0.23894 
med  raw eQQ diff.....    0.30952 	 	    0.23636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.18182 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.2667 
T-test p-value........   0.022897 	 	    0.10721 
KS Bootstrap p-value..      0.065 	 	      0.631 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.4274 
std mean diff.........     -99.26 	 	    -88.853 

mean raw eQQ diff.....     1.0072 	 	    0.97548 
med  raw eQQ diff.....    0.83552 	 	    0.86708 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21209 	 	    0.17647 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     0.5406 
T-test p-value........   0.019567 	 	    0.12072 
KS Bootstrap p-value..      0.175 	 	      0.671 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.20381 
std mean diff.........     32.526 	 	     30.111 

mean raw eQQ diff.....    0.12992 	 	     0.1239 
med  raw eQQ diff.....   0.054371 	 	   0.022619 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.4305 
T-test p-value........    0.35058 	 	    0.44907 
KS Bootstrap p-value..      0.593 	 	      0.906 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.41604 
std mean diff.........     33.347 	 	    -5.9324 

mean raw eQQ diff.....   0.098807 	 	   0.061225 
med  raw eQQ diff.....   0.091521 	 	    0.04881 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.15326 	 	     0.0875 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.74218 
T-test p-value........    0.37761 	 	    0.85174 
KS Bootstrap p-value..      0.087 	 	      0.966 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.7159 
std mean diff.........    -53.044 	 	    -39.718 

mean raw eQQ diff.....    0.65346 	 	     0.5081 
med  raw eQQ diff.....    0.46361 	 	    0.33961 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.16728 	 	    0.17895 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.27971 
T-test p-value........    0.28676 	 	     0.4698 
KS Bootstrap p-value..      0.196 	 	      0.348 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.26057 
std mean diff.........     19.565 	 	    -1.9736 

mean raw eQQ diff.....   0.060546 	 	   0.073386 
med  raw eQQ diff.....   0.058442 	 	   0.077381 
max  raw eQQ diff.....    0.11538 	 	    0.11905 

mean eCDF diff........   0.087923 	 	    0.10714 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.78232 
T-test p-value........    0.60255 	 	    0.93812 
KS Bootstrap p-value..      0.572 	 	      0.953 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.10721 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.36613  0.60506  0.23894          0.15344  0.68171  1.55722          
ave.log.duration.prev5         2.42745  1.45196  -0.97548         0.64742  -0.74435 -1.50672         
ave.outcome.prev5              0.20381  0.32771  0.12390          0.16138  0.35843  0.76771          
ForceUS.prop.prev10            0.41604  0.40187  -0.01417         0.07380  -0.05476 -0.19199         
ave.log.duration.prev10        2.71595  2.50094  -0.21501         0.29294  -0.26260 -0.73395         
ave.outcome.prev10             0.26057  0.25652  -0.00405         0.05074  -0.01849 -0.07981         
---Overall Test---
      chisquare df p.value
strat      5.76  6   0.451
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     37 
$p.values
ForceUS     NPC 
  0.202   0.202 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19943820 77.99611063  0.01469317 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2175758 72.4639141  0.1521212 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 14.060393   1.843674   1.310069 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7591229  1.4331638  0.7606914 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs TRUE ***


Sat Apr 25 02:02:28 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.016618e-01  1.197690e-01  1.233300e-01  1.253249e-01  1.439091e-01  1.480568e-01  1.483047e-01  2.012642e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.023593e-01  5.481864e-01  5.824005e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.413812e-01  8.449893e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	1.101053e-01  1.180513e-01  1.608948e-01  1.649790e-01  2.460690e-01  2.566399e-01  2.818967e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.622657e-01  4.004737e-01  4.857662e-01  6.700184e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.989304e-01  8.769649e-01  8.863917e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	1.228574e-01  1.291163e-01  1.649790e-01  1.770921e-01  1.849172e-01  1.948896e-01  2.978268e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.238549e-01  3.639838e-01  4.004737e-01  4.004737e-01  5.331657e-01  5.372348e-01  5.733716e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.158609e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.228574e-01  1.291163e-01  1.649790e-01  1.770921e-01  1.849172e-01  1.948896e-01  2.978268e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.238549e-01  3.639838e-01  4.004737e-01  4.004737e-01  5.331657e-01  5.372348e-01  5.733716e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.158609e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	3.026299e+02
 X[ 2] :	5.286148e+02
 X[ 3] :	4.490663e+02
 X[ 4] :	3.862841e+02
 X[ 5] :	2.581437e+02
 X[ 6] :	9.068174e+02
 X[ 7] :	7.973270e+02
 X[ 8] :	6.690782e+02
 X[ 9] :	1.177660e+02
 X[10] :	3.321836e+02
 X[11] :	1.558060e+02
 X[12] :	8.394248e+02
 X[13] :	7.634849e+01
 X[14] :	6.236713e+02
 X[15] :	9.126603e+02
 X[16] :	2.046353e+02
 X[17] :	4.598695e+01
 X[18] :	3.281246e+02

Solution Found Generation 4
Number of Generations Run 15

Sat Apr 25 02:32:13 2015
Total run time : 0 hours 29 minutes and 45 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1   Adams, J. Q.         1          0
2       Monroe         6          6  Roosevelt, T.         9          7
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1   Adams, J. Q.         1          0
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8  Johnson, L.        22         15 Bush, G. H. W.         8          5
9       Carter         9          7           Ford         4          4
10     Clinton        24         10    Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.5 
std mean diff.........    -37.295 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	       0.05 
med  eCDF diff........   0.096296 	 	       0.05 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....     1.0636 	 	       0.96 
T-test p-value........    0.32516 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1897.9 
std mean diff.........    -41.025 	 	    -18.068 

mean raw eQQ diff.....       27.1 	 	       15.9 
med  raw eQQ diff.....         26 	 	         12 
max  raw eQQ diff.....         56 	 	         36 

mean eCDF diff........    0.16346 	 	   0.088235 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.2 

var ratio (Tr/Co).....     1.7622 	 	     1.0428 
T-test p-value........    0.25944 	 	    0.17709 
KS Bootstrap p-value..      0.085 	 	      0.963 
KS Naive p-value......    0.10178 	 	    0.98826 
KS Statistic..........    0.42593 	 	        0.2 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.2 
std mean diff.........     -37.57 	 	     20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.090741 	 	       0.05 
med  eCDF diff........   0.090741 	 	       0.05 
max  eCDF diff........    0.18148 	 	        0.1 

var ratio (Tr/Co).....        0.9 	 	     1.3125 
T-test p-value........    0.33138 	 	    0.31932 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     2.1026 
std mean diff.........    -8.8585 	 	     -20.56 

mean raw eQQ diff.....    0.16356 	 	    0.61078 
med  raw eQQ diff.....    0.03126 	 	     0.5317 
max  raw eQQ diff.....    0.58779 	 	     1.3863 

mean eCDF diff........   0.074074 	 	    0.13333 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.3 

var ratio (Tr/Co).....     1.4349 	 	     3.2486 
T-test p-value........    0.80643 	 	    0.57337 
KS Bootstrap p-value..      0.878 	 	      0.625 
KS Naive p-value......     0.9752 	 	     0.7591 
KS Statistic..........    0.17778 	 	        0.3 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        8.1 
std mean diff.........    -20.716 	 	    -24.109 

mean raw eQQ diff.....        1.7 	 	        2.3 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........   0.087407 	 	    0.10833 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     0.9195 
T-test p-value........    0.58014 	 	    0.16498 
KS Bootstrap p-value..      0.433 	 	      0.591 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     4.8868 
std mean diff.........     11.067 	 	     21.727 

mean raw eQQ diff.....     1.0609 	 	    0.80301 
med  raw eQQ diff.....    0.61465 	 	    0.48186 
max  raw eQQ diff.....     4.1068 	 	          4 

mean eCDF diff........    0.08165 	 	       0.12 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.3 

var ratio (Tr/Co).....    0.99841 	 	     1.5278 
T-test p-value........    0.76884 	 	    0.32385 
KS Bootstrap p-value..      0.649 	 	      0.536 
KS Naive p-value......    0.88926 	 	     0.7591 
KS Statistic..........    0.21481 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.50768 
std mean diff.........     89.844 	 	     26.282 

mean raw eQQ diff.....    0.31915 	 	   0.097386 
med  raw eQQ diff.....    0.30952 	 	   0.052945 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	   0.081818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	     1.0074 
T-test p-value........   0.022897 	 	    0.19489 
KS Bootstrap p-value..      0.059 	 	      0.898 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0091 
std mean diff.........     -99.26 	 	    -50.752 

mean raw eQQ diff.....     1.0072 	 	    0.55719 
med  raw eQQ diff.....    0.83552 	 	     0.4746 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.17143 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.4 

var ratio (Tr/Co).....    0.72059 	 	     1.1732 
T-test p-value........   0.019567 	 	    0.18492 
KS Bootstrap p-value..      0.191 	 	       0.33 
KS Naive p-value......    0.28036 	 	    0.40047 
KS Statistic..........    0.36667 	 	        0.4 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.3536 
std mean diff.........     32.526 	 	    -6.2923 

mean raw eQQ diff.....    0.12992 	 	    0.15922 
med  raw eQQ diff.....   0.054371 	 	    0.16667 
max  raw eQQ diff.....        0.5 	 	    0.31818 

mean eCDF diff........   0.080117 	 	       0.13 
med  eCDF diff........   0.055556 	 	       0.15 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.0021 
T-test p-value........    0.35058 	 	    0.81586 
KS Bootstrap p-value..      0.599 	 	      0.933 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.48973 
std mean diff.........     33.347 	 	    -36.788 

mean raw eQQ diff.....   0.098807 	 	    0.12679 
med  raw eQQ diff.....   0.091521 	 	    0.04418 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	   0.092857 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.43877 
T-test p-value........    0.37761 	 	    0.29783 
KS Bootstrap p-value..      0.073 	 	      0.952 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2135 
std mean diff.........    -53.044 	 	     53.091 

mean raw eQQ diff.....    0.65346 	 	     0.3546 
med  raw eQQ diff.....    0.46361 	 	    0.14276 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	    0.18125 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.72589 
T-test p-value........    0.28676 	 	    0.12286 
KS Bootstrap p-value..      0.214 	 	      0.331 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.35655 
std mean diff.........     19.565 	 	    -48.748 

mean raw eQQ diff.....   0.060546 	 	    0.11042 
med  raw eQQ diff.....   0.058442 	 	   0.092399 
max  raw eQQ diff.....    0.11538 	 	    0.23016 

mean eCDF diff........   0.087923 	 	    0.10769 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.50946 
T-test p-value........    0.60255 	 	    0.12912 
KS Bootstrap p-value..      0.555 	 	       0.66 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	          0 
std mean diff.........    -15.226 	 	     31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	        Inf 
T-test p-value........    0.69735 	 	    0.31932 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.9952 
std mean diff.........    -49.221 	 	      6.406 

mean raw eQQ diff.....    0.82964 	 	    0.27123 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	      2.019 

mean eCDF diff........    0.12926 	 	   0.042857 
med  eCDF diff........    0.07037 	 	          0 
max  eCDF diff........    0.45556 	 	        0.1 

var ratio (Tr/Co).....    0.96125 	 	    0.92269 
T-test p-value........    0.20414 	 	    0.53317 
KS Bootstrap p-value..      0.032 	 	      0.999 
KS Naive p-value......   0.096734 	 	          1 
KS Statistic..........    0.45556 	 	        0.1 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     29.533 
std mean diff.........    -22.512 	 	     13.842 

mean raw eQQ diff.....     6.2606 	 	     5.8881 
med  raw eQQ diff.....      3.276 	 	     5.6268 
max  raw eQQ diff.....     18.417 	 	     15.696 

mean eCDF diff........   0.076144 	 	    0.10667 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	    0.93292 
T-test p-value........    0.54958 	 	    0.53723 
KS Bootstrap p-value..      0.553 	 	      0.617 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.4 
std mean diff.........     20.082 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.051852 	 	          0 
med  eCDF diff........   0.051852 	 	          0 
max  eCDF diff........     0.1037 	 	          0 

var ratio (Tr/Co).....     1.2316 	 	          1 
T-test p-value........    0.58599 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       17.3 
std mean diff.........    -2.4179 	 	    -9.4224 

mean raw eQQ diff.....        2.6 	 	        3.6 
med  raw eQQ diff.....          2 	 	        3.5 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........   0.068921 	 	   0.092857 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....      1.332 	 	    0.90064 
T-test p-value........    0.94701 	 	    0.36398 
KS Bootstrap p-value..      0.739 	 	      0.634 
KS Naive p-value......    0.93225 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 

After Matching Minimum p.value: 0.12286 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.50768 
std mean diff.........     89.844 	 	     26.282 

mean raw eQQ diff.....    0.31915 	 	   0.097386 
med  raw eQQ diff.....    0.30952 	 	   0.052945 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	   0.081818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	     1.0074 
T-test p-value........   0.022897 	 	    0.19489 
KS Bootstrap p-value..      0.065 	 	      0.914 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0091 
std mean diff.........     -99.26 	 	    -50.752 

mean raw eQQ diff.....     1.0072 	 	    0.55719 
med  raw eQQ diff.....    0.83552 	 	     0.4746 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.17143 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.4 

var ratio (Tr/Co).....    0.72059 	 	     1.1732 
T-test p-value........   0.019567 	 	    0.18492 
KS Bootstrap p-value..      0.175 	 	      0.329 
KS Naive p-value......    0.28036 	 	    0.40047 
KS Statistic..........    0.36667 	 	        0.4 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.3536 
std mean diff.........     32.526 	 	    -6.2923 

mean raw eQQ diff.....    0.12992 	 	    0.15922 
med  raw eQQ diff.....   0.054371 	 	    0.16667 
max  raw eQQ diff.....        0.5 	 	    0.31818 

mean eCDF diff........   0.080117 	 	       0.13 
med  eCDF diff........   0.055556 	 	       0.15 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.0021 
T-test p-value........    0.35058 	 	    0.81586 
KS Bootstrap p-value..      0.593 	 	      0.932 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.48973 
std mean diff.........     33.347 	 	    -36.788 

mean raw eQQ diff.....   0.098807 	 	    0.12679 
med  raw eQQ diff.....   0.091521 	 	    0.04418 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	   0.092857 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.43877 
T-test p-value........    0.37761 	 	    0.29783 
KS Bootstrap p-value..      0.087 	 	      0.954 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2135 
std mean diff.........    -53.044 	 	     53.091 

mean raw eQQ diff.....    0.65346 	 	     0.3546 
med  raw eQQ diff.....    0.46361 	 	    0.14276 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	    0.18125 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.72589 
T-test p-value........    0.28676 	 	    0.12286 
KS Bootstrap p-value..      0.196 	 	      0.306 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.35655 
std mean diff.........     19.565 	 	    -48.748 

mean raw eQQ diff.....   0.060546 	 	    0.11042 
med  raw eQQ diff.....   0.058442 	 	   0.092399 
max  raw eQQ diff.....    0.11538 	 	    0.23016 

mean eCDF diff........   0.087923 	 	    0.10769 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.50946 
T-test p-value........    0.60255 	 	    0.12912 
KS Bootstrap p-value..      0.572 	 	      0.656 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.12286 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.5077   0.6051   0.0974           0.0761   0.2633  1.2805         
ave.log.duration.prev5          2.0091   1.4520   -0.5572          0.4262   -0.5274 -1.3073        
ave.outcome.prev5               0.3536   0.3277   -0.0259          0.1083   -0.0727 -0.2391        
ForceUS.prop.prev10             0.4897   0.4019   -0.0879          0.0842   -0.2873 -1.0431        
ave.log.duration.prev10         2.2135   2.5009   0.2874           0.1917   0.4869  1.4991         
ave.outcome.prev10              0.3565   0.2565   -0.1000          0.0677   -0.4005 -1.4772        
---Overall Test---
      chisquare df p.value
strat      5.73  6   0.454
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     24 
$p.values
ForceUS     NPC 
  0.375   0.375 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.01866897 81.58841832 -0.01607606 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.00520202 85.57891414 -0.05982323 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.4375108  1.1554338 -0.4791703 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3657089  1.3889555  0.3853032 

Closed Testing
Intersection 1 of 7 

*** primary party.covs FALSE ***


Sat Apr 25 04:08:41 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.550767e-02  7.855289e-02  8.886862e-02  9.337503e-02  1.640792e-01  1.725890e-01  1.725890e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.299270e-01  3.812856e-01  6.015128e-01  6.502327e-01  7.051438e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.774640e-01  7.850266e-01  7.869298e-01  8.399090e-01  8.476342e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	7.586101e-02  7.855289e-02  8.828819e-02  8.889793e-02  8.889793e-02  9.036579e-02  1.393315e-01  1.640792e-01  3.031192e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.315862e-01  4.004737e-01  5.392943e-01  5.966992e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.176414e-01  8.709416e-01  8.901506e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.993655e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.586101e-02  7.855289e-02  8.828819e-02  8.889793e-02  8.889793e-02  9.036579e-02  1.393315e-01  1.640792e-01  3.031192e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.315862e-01  4.004737e-01  5.392943e-01  5.966992e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.176414e-01  8.709416e-01  8.901506e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.993655e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.945974e+02
 X[ 2] :	2.473468e+02
 X[ 3] :	3.148787e+02
 X[ 4] :	2.125777e+02
 X[ 5] :	5.691150e+02
 X[ 6] :	7.930354e+02
 X[ 7] :	7.020463e+02
 X[ 8] :	9.780055e+02
 X[ 9] :	5.996088e+02
 X[10] :	4.798072e+01
 X[11] :	3.688977e+02
 X[12] :	1.546780e+02
 X[13] :	7.553982e+02
 X[14] :	4.528507e+01
 X[15] :	2.978450e+02
 X[16] :	4.139393e+02
 X[17] :	9.806938e+02
 X[18] :	8.806182e+02
 X[19] :	3.184857e+01
 X[20] :	8.148528e-01

Solution Found Generation 1
Number of Generations Run 12

Sat Apr 25 04:32:51 2015
Total run time : 0 hours 24 minutes and 10 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4        Hoover         1          0
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.5 
std mean diff.........    -37.295 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	       0.05 
med  eCDF diff........   0.096296 	 	       0.05 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....     1.0636 	 	       0.96 
T-test p-value........    0.32516 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1904.3 
std mean diff.........    -41.025 	 	    -27.173 

mean raw eQQ diff.....       27.1 	 	       20.1 
med  raw eQQ diff.....         26 	 	         18 
max  raw eQQ diff.....         56 	 	         36 

mean eCDF diff........    0.16346 	 	       0.12 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.3 

var ratio (Tr/Co).....     1.7622 	 	     1.2889 
T-test p-value........    0.25944 	 	   0.090366 
KS Bootstrap p-value..      0.085 	 	      0.705 
KS Naive p-value......    0.10178 	 	    0.78693 
KS Statistic..........    0.42593 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.3 
std mean diff.........     -37.57 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.090741 	 	          0 
med  eCDF diff........   0.090741 	 	          0 
max  eCDF diff........    0.18148 	 	          0 

var ratio (Tr/Co).....        0.9 	 	          1 
T-test p-value........    0.33138 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	      1.904 
std mean diff.........    -8.8585 	 	    -4.9223 

mean raw eQQ diff.....    0.16356 	 	    0.35337 
med  raw eQQ diff.....    0.03126 	 	    0.30432 
max  raw eQQ diff.....    0.58779 	 	    0.69315 

mean eCDF diff........   0.074074 	 	   0.093333 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	      1.678 
T-test p-value........    0.80643 	 	    0.89015 
KS Bootstrap p-value..      0.878 	 	      0.957 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        7.7 
std mean diff.........    -20.716 	 	     -17.68 

mean raw eQQ diff.....        1.7 	 	        1.5 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........   0.087407 	 	   0.083333 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     1.1766 
T-test p-value........    0.58014 	 	    0.33159 
KS Bootstrap p-value..      0.433 	 	      0.602 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     4.2177 
std mean diff.........     11.067 	 	     49.197 

mean raw eQQ diff.....     1.0609 	 	     1.3528 
med  raw eQQ diff.....    0.61465 	 	    0.92266 
max  raw eQQ diff.....     4.1068 	 	          4 

mean eCDF diff........    0.08165 	 	        0.2 
med  eCDF diff........   0.075926 	 	        0.2 
max  eCDF diff........    0.21481 	 	        0.4 

var ratio (Tr/Co).....    0.99841 	 	     1.4903 
T-test p-value........    0.76884 	 	    0.13933 
KS Bootstrap p-value..      0.649 	 	      0.291 
KS Naive p-value......    0.88926 	 	    0.40047 
KS Statistic..........    0.21481 	 	        0.4 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.39708 
std mean diff.........     89.844 	 	      56.13 

mean raw eQQ diff.....    0.31915 	 	    0.20799 
med  raw eQQ diff.....    0.30952 	 	    0.18333 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.15385 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.2951 
T-test p-value........   0.022897 	 	   0.088288 
KS Bootstrap p-value..      0.059 	 	      0.629 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	      2.173 
std mean diff.........     -99.26 	 	    -65.677 

mean raw eQQ diff.....     1.0072 	 	    0.72104 
med  raw eQQ diff.....    0.83552 	 	    0.50106 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.15294 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	    0.86747 
T-test p-value........   0.019567 	 	   0.075861 
KS Bootstrap p-value..      0.191 	 	      0.701 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.32762 
std mean diff.........     32.526 	 	   0.021042 

mean raw eQQ diff.....    0.12992 	 	    0.13563 
med  raw eQQ diff.....   0.054371 	 	    0.12338 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.0593 
T-test p-value........    0.35058 	 	    0.99937 
KS Bootstrap p-value..      0.599 	 	      0.917 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	     0.3553 
std mean diff.........     33.347 	 	     19.497 

mean raw eQQ diff.....   0.098807 	 	   0.051693 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	     0.1125 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.86625 
T-test p-value........    0.37761 	 	     0.5967 
KS Bootstrap p-value..      0.073 	 	      0.677 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4435 
std mean diff.........    -53.044 	 	      10.62 

mean raw eQQ diff.....    0.65346 	 	    0.41069 
med  raw eQQ diff.....    0.46361 	 	    0.26452 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.21579 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.41021 
T-test p-value........    0.28676 	 	    0.81764 
KS Bootstrap p-value..      0.214 	 	      0.113 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.28284 
std mean diff.........     19.565 	 	    -12.827 

mean raw eQQ diff.....   0.060546 	 	   0.075657 
med  raw eQQ diff.....   0.058442 	 	   0.071429 
max  raw eQQ diff.....    0.11538 	 	    0.13462 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.66867 
T-test p-value........    0.60255 	 	    0.53929 
KS Bootstrap p-value..      0.555 	 	      0.958 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	        0.1 
std mean diff.........    -15.226 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.024074 	 	          0 
med  eCDF diff........   0.024074 	 	          0 
max  eCDF diff........   0.048148 	 	          0 

var ratio (Tr/Co).....    0.76304 	 	          1 
T-test p-value........    0.69735 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.0164 
std mean diff.........    -49.221 	 	    -35.442 

mean raw eQQ diff.....    0.82964 	 	    0.82904 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.12926 	 	   0.077778 
med  eCDF diff........    0.07037 	 	          0 
max  eCDF diff........    0.45556 	 	        0.3 

var ratio (Tr/Co).....    0.96125 	 	       1.01 
T-test p-value........    0.20414 	 	   0.078553 
KS Bootstrap p-value..      0.032 	 	      0.537 
KS Naive p-value......   0.096734 	 	     0.7591 
KS Statistic..........    0.45556 	 	        0.3 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	      35.83 
std mean diff.........    -22.512 	 	    -18.399 

mean raw eQQ diff.....     6.2606 	 	     4.9421 
med  raw eQQ diff.....      3.276 	 	      5.248 
max  raw eQQ diff.....     18.417 	 	     13.667 

mean eCDF diff........   0.076144 	 	   0.094444 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	    0.81984 
T-test p-value........    0.54958 	 	    0.30312 
KS Bootstrap p-value..      0.553 	 	      0.654 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.3 
std mean diff.........     20.082 	 	     19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.051852 	 	       0.05 
med  eCDF diff........   0.051852 	 	       0.05 
max  eCDF diff........     0.1037 	 	        0.1 

var ratio (Tr/Co).....     1.2316 	 	     1.1429 
T-test p-value........    0.58599 	 	    0.31932 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       15.6 
std mean diff.........    -2.4179 	 	     2.0191 

mean raw eQQ diff.....        2.6 	 	        2.7 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.068921 	 	    0.08125 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....      1.332 	 	     1.4478 
T-test p-value........    0.94701 	 	    0.87094 
KS Bootstrap p-value..      0.739 	 	       0.96 
KS Naive p-value......    0.93225 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.5 
std mean diff.........      179.2 	 	     126.49 

mean raw eQQ diff.....        0.6 	 	        0.4 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.28333 	 	        0.2 
med  eCDF diff........    0.28333 	 	        0.2 
max  eCDF diff........    0.56667 	 	        0.4 

var ratio (Tr/Co).....    0.43333 	 	       0.36 
T-test p-value........ 0.00033381 	 	   0.088898 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.075861 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.39708 
std mean diff.........     89.844 	 	      56.13 

mean raw eQQ diff.....    0.31915 	 	    0.20799 
med  raw eQQ diff.....    0.30952 	 	    0.18333 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.15385 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.2951 
T-test p-value........   0.022897 	 	   0.088288 
KS Bootstrap p-value..      0.065 	 	      0.624 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	      2.173 
std mean diff.........     -99.26 	 	    -65.677 

mean raw eQQ diff.....     1.0072 	 	    0.72104 
med  raw eQQ diff.....    0.83552 	 	    0.50106 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.15294 
med  eCDF diff........    0.21852 	 	        0.2 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	    0.86747 
T-test p-value........   0.019567 	 	   0.075861 
KS Bootstrap p-value..      0.175 	 	      0.683 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.32762 
std mean diff.........     32.526 	 	   0.021042 

mean raw eQQ diff.....    0.12992 	 	    0.13563 
med  raw eQQ diff.....   0.054371 	 	    0.12338 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.0593 
T-test p-value........    0.35058 	 	    0.99937 
KS Bootstrap p-value..      0.593 	 	      0.942 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	     0.3553 
std mean diff.........     33.347 	 	     19.497 

mean raw eQQ diff.....   0.098807 	 	   0.051693 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	     0.1125 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.86625 
T-test p-value........    0.37761 	 	     0.5967 
KS Bootstrap p-value..      0.087 	 	      0.671 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4435 
std mean diff.........    -53.044 	 	      10.62 

mean raw eQQ diff.....    0.65346 	 	    0.41069 
med  raw eQQ diff.....    0.46361 	 	    0.26452 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.21579 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.41021 
T-test p-value........    0.28676 	 	    0.81764 
KS Bootstrap p-value..      0.196 	 	      0.128 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.28284 
std mean diff.........     19.565 	 	    -12.827 

mean raw eQQ diff.....   0.060546 	 	   0.075657 
med  raw eQQ diff.....   0.058442 	 	   0.071429 
max  raw eQQ diff.....    0.11538 	 	    0.13462 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.66867 
T-test p-value........    0.60255 	 	    0.53929 
KS Bootstrap p-value..      0.572 	 	      0.969 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.075861 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata     strat                                                                   
                        stat    South1=0  South1=1  adj.diff adj.diff.null.sd  std.diff      z             
vars                                                                                                       
ForceUS.prop.prev5             3.97e-01  6.05e-01  2.08e-01         1.27e-01  5.96e-01  1.64e+00           
ave.log.duration.prev5         2.17e+00  1.45e+00  -7.21e-01        4.26e-01  -6.33e-01 -1.69e+00 .        
ave.outcome.prev5              3.28e-01  3.28e-01  8.66e-05         1.06e-01  2.44e-04  8.18e-04           
ForceUS.prop.prev10            3.55e-01  4.02e-01  4.66e-02         8.62e-02  1.88e-01  5.40e-01           
ave.log.duration.prev10        2.44e+00  2.50e+00  5.75e-02         2.43e-01  8.10e-02  2.37e-01           
ave.outcome.prev10             2.83e-01  2.57e-01  -2.63e-02        4.21e-02  -1.15e-01 -6.26e-01          
---Overall Test---
      chisquare df p.value
strat      5.78  6   0.448
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     42 
$p.values
ForceUS     NPC 
  0.126   0.126 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19411905 95.80707626 -0.00167344 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2190043 88.2681999  0.1435498 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
13.2000956  1.7411984  0.4226632 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.6607009  1.5494689  0.6442242 

Closed Testing
Intersection 1 of 7 

*** primary party.covs TRUE ***


Sat Apr 25 06:14:21 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.016618e-01  1.197690e-01  1.233300e-01  1.253249e-01  1.439091e-01  1.480568e-01  1.483047e-01  1.725890e-01  1.725890e-01  2.012642e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.023593e-01  5.481864e-01  5.824005e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.413812e-01  8.449893e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.016618e-01  1.197690e-01  1.233300e-01  1.253249e-01  1.439091e-01  1.480568e-01  1.483047e-01  1.725890e-01  1.725890e-01  2.012642e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  4.023593e-01  5.481864e-01  5.824005e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.413812e-01  8.449893e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.386965e+02
 X[ 2] :	1.839280e+02
 X[ 3] :	4.659203e+02
 X[ 4] :	7.959974e+02
 X[ 5] :	2.304910e+02
 X[ 6] :	5.351665e+02
 X[ 7] :	9.947353e+02
 X[ 8] :	7.034966e+02
 X[ 9] :	7.298569e+02
 X[10] :	4.046657e+02
 X[11] :	1.468973e+02
 X[12] :	8.295019e+02
 X[13] :	8.282133e+02
 X[14] :	9.116232e+02
 X[15] :	8.380758e+02
 X[16] :	5.376372e+02
 X[17] :	1.139962e+02
 X[18] :	6.631988e+02
 X[19] :	3.116104e+01
 X[20] :	3.376782e+02

Solution Found Generation 1
Number of Generations Run 11

Sat Apr 25 06:40:58 2015
Total run time : 0 hours 26 minutes and 37 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.4 
std mean diff.........    -37.295 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.096296 	 	          0 
med  eCDF diff........   0.096296 	 	          0 
max  eCDF diff........    0.19259 	 	          0 

var ratio (Tr/Co).....     1.0636 	 	          1 
T-test p-value........    0.32516 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1890.7 
std mean diff.........    -41.025 	 	    -7.8246 

mean raw eQQ diff.....       27.1 	 	        9.7 
med  raw eQQ diff.....         26 	 	         10 
max  raw eQQ diff.....         56 	 	         16 

mean eCDF diff........    0.16346 	 	   0.070588 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.2 

var ratio (Tr/Co).....     1.7622 	 	     1.1267 
T-test p-value........    0.25944 	 	    0.10166 
KS Bootstrap p-value..      0.085 	 	      0.958 
KS Naive p-value......    0.10178 	 	    0.98826 
KS Statistic..........    0.42593 	 	        0.2 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.2 
std mean diff.........     -37.57 	 	     20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.090741 	 	       0.05 
med  eCDF diff........   0.090741 	 	       0.05 
max  eCDF diff........    0.18148 	 	        0.1 

var ratio (Tr/Co).....        0.9 	 	     1.3125 
T-test p-value........    0.33138 	 	    0.31932 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     2.1307 
std mean diff.........    -8.8585 	 	    -22.767 

mean raw eQQ diff.....    0.16356 	 	    0.72587 
med  raw eQQ diff.....    0.03126 	 	    0.69315 
max  raw eQQ diff.....    0.58779 	 	     1.3863 

mean eCDF diff........   0.074074 	 	    0.16923 
med  eCDF diff........   0.062963 	 	        0.2 
max  eCDF diff........    0.17778 	 	        0.3 

var ratio (Tr/Co).....     1.4349 	 	     4.1921 
T-test p-value........    0.80643 	 	    0.54819 
KS Bootstrap p-value..      0.878 	 	       0.61 
KS Naive p-value......     0.9752 	 	     0.7591 
KS Statistic..........    0.17778 	 	        0.3 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        8.5 
std mean diff.........    -20.716 	 	    -30.538 

mean raw eQQ diff.....        1.7 	 	        2.3 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........   0.087407 	 	    0.10833 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	    0.96644 
T-test p-value........    0.58014 	 	    0.12333 
KS Bootstrap p-value..      0.433 	 	      0.592 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     4.4235 
std mean diff.........     11.067 	 	     40.744 

mean raw eQQ diff.....     1.0609 	 	     1.2482 
med  raw eQQ diff.....    0.61465 	 	    0.78987 
max  raw eQQ diff.....     4.1068 	 	          4 

mean eCDF diff........    0.08165 	 	    0.15455 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.4 

var ratio (Tr/Co).....    0.99841 	 	     1.7614 
T-test p-value........    0.76884 	 	    0.14391 
KS Bootstrap p-value..      0.649 	 	      0.255 
KS Naive p-value......    0.88926 	 	    0.40047 
KS Statistic..........    0.21481 	 	        0.4 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.46268 
std mean diff.........     89.844 	 	     38.426 

mean raw eQQ diff.....    0.31915 	 	    0.14239 
med  raw eQQ diff.....    0.30952 	 	   0.089286 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.14545 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	    0.86068 
T-test p-value........   0.022897 	 	    0.11977 
KS Bootstrap p-value..      0.059 	 	      0.595 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.8861 
std mean diff.........     -99.26 	 	    -39.548 

mean raw eQQ diff.....     1.0072 	 	    0.45416 
med  raw eQQ diff.....    0.83552 	 	     0.3563 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.12143 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.3818 
T-test p-value........   0.019567 	 	    0.14806 
KS Bootstrap p-value..      0.191 	 	      0.657 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.2686 
std mean diff.........     32.526 	 	     14.365 

mean raw eQQ diff.....    0.12992 	 	    0.13275 
med  raw eQQ diff.....   0.054371 	 	    0.10076 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.09 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.1539 
T-test p-value........    0.35058 	 	     0.5824 
KS Bootstrap p-value..      0.599 	 	      0.897 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.46588 
std mean diff.........     33.347 	 	    -26.802 

mean raw eQQ diff.....   0.098807 	 	    0.14112 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	    0.10714 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.39592 
T-test p-value........    0.37761 	 	    0.40236 
KS Bootstrap p-value..      0.073 	 	      0.667 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2546 
std mean diff.........    -53.044 	 	     45.511 

mean raw eQQ diff.....    0.65346 	 	       0.37 
med  raw eQQ diff.....    0.46361 	 	    0.23755 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	     0.1875 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.64067 
T-test p-value........    0.28676 	 	    0.20126 
KS Bootstrap p-value..      0.214 	 	      0.322 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.31533 
std mean diff.........     19.565 	 	    -28.661 

mean raw eQQ diff.....   0.060546 	 	   0.095791 
med  raw eQQ diff.....   0.058442 	 	   0.060306 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.45959 
T-test p-value........    0.60255 	 	    0.12532 
KS Bootstrap p-value..      0.555 	 	      0.648 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	          0 
std mean diff.........    -15.226 	 	     31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	        Inf 
T-test p-value........    0.69735 	 	    0.31932 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	     -3.724 
std mean diff.........    -49.221 	 	    -5.1893 

mean raw eQQ diff.....    0.82964 	 	    0.12138 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	    0.60692 

mean eCDF diff........    0.12926 	 	   0.028571 
med  eCDF diff........    0.07037 	 	          0 
max  eCDF diff........    0.45556 	 	        0.2 

var ratio (Tr/Co).....    0.96125 	 	    0.97028 
T-test p-value........    0.20414 	 	     0.1483 
KS Bootstrap p-value..      0.032 	 	      0.879 
KS Naive p-value......   0.096734 	 	    0.98826 
KS Statistic..........    0.45556 	 	        0.2 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     32.906 
std mean diff.........    -22.512 	 	    -3.4317 

mean raw eQQ diff.....     6.2606 	 	     4.1155 
med  raw eQQ diff.....      3.276 	 	     3.9493 
max  raw eQQ diff.....     18.417 	 	     8.8929 

mean eCDF diff........   0.076144 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	    0.75731 
T-test p-value........    0.54958 	 	    0.84499 
KS Bootstrap p-value..      0.553 	 	      0.636 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.4 
std mean diff.........     20.082 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.051852 	 	          0 
med  eCDF diff........   0.051852 	 	          0 
max  eCDF diff........     0.1037 	 	          0 

var ratio (Tr/Co).....     1.2316 	 	          1 
T-test p-value........    0.58599 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       15.6 
std mean diff.........    -2.4179 	 	     2.0191 

mean raw eQQ diff.....        2.6 	 	        3.5 
med  raw eQQ diff.....          2 	 	        3.5 
max  raw eQQ diff.....          9 	 	          7 

mean eCDF diff........   0.068921 	 	        0.1 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....      1.332 	 	     1.5615 
T-test p-value........    0.94701 	 	    0.84138 
KS Bootstrap p-value..      0.739 	 	      0.646 
KS Naive p-value......    0.93225 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.6 
std mean diff.........      179.2 	 	     94.868 

mean raw eQQ diff.....        0.6 	 	        0.3 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.28333 	 	       0.15 
med  eCDF diff........    0.28333 	 	       0.15 
max  eCDF diff........    0.56667 	 	        0.3 

var ratio (Tr/Co).....    0.43333 	 	      0.375 
T-test p-value........ 0.00033381 	 	    0.17259 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.10166 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.46268 
std mean diff.........     89.844 	 	     38.426 

mean raw eQQ diff.....    0.31915 	 	    0.14239 
med  raw eQQ diff.....    0.30952 	 	   0.089286 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.14545 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	    0.86068 
T-test p-value........   0.022897 	 	    0.11977 
KS Bootstrap p-value..      0.065 	 	      0.599 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.8861 
std mean diff.........     -99.26 	 	    -39.548 

mean raw eQQ diff.....     1.0072 	 	    0.45416 
med  raw eQQ diff.....    0.83552 	 	     0.3563 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21209 	 	    0.12143 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.3818 
T-test p-value........   0.019567 	 	    0.14806 
KS Bootstrap p-value..      0.175 	 	      0.641 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.2686 
std mean diff.........     32.526 	 	     14.365 

mean raw eQQ diff.....    0.12992 	 	    0.13275 
med  raw eQQ diff.....   0.054371 	 	    0.10076 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.09 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.1539 
T-test p-value........    0.35058 	 	     0.5824 
KS Bootstrap p-value..      0.593 	 	      0.926 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.46588 
std mean diff.........     33.347 	 	    -26.802 

mean raw eQQ diff.....   0.098807 	 	    0.14112 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	    0.10714 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.39592 
T-test p-value........    0.37761 	 	    0.40236 
KS Bootstrap p-value..      0.087 	 	      0.638 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2546 
std mean diff.........    -53.044 	 	     45.511 

mean raw eQQ diff.....    0.65346 	 	       0.37 
med  raw eQQ diff.....    0.46361 	 	    0.23755 
max  raw eQQ diff.....     1.8581 	 	      1.155 

mean eCDF diff........    0.16728 	 	     0.1875 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.64067 
T-test p-value........    0.28676 	 	    0.20126 
KS Bootstrap p-value..      0.196 	 	      0.325 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.31533 
std mean diff.........     19.565 	 	    -28.661 

mean raw eQQ diff.....   0.060546 	 	   0.095791 
med  raw eQQ diff.....   0.058442 	 	   0.060306 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.45959 
T-test p-value........    0.60255 	 	    0.12532 
KS Bootstrap p-value..      0.572 	 	      0.672 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11977 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4627   0.6051   0.1424           0.0943   0.3696  1.5102         
ave.log.duration.prev5          1.8861   1.4520   -0.4342          0.3068   -0.4260 -1.4150        
ave.outcome.prev5               0.2686   0.3277   0.0591           0.1053   0.1679  0.5613         
ForceUS.prop.prev10             0.4659   0.4019   -0.0640          0.0756   -0.2019 -0.8467        
ave.log.duration.prev10         2.2546   2.5009   0.2464           0.1949   0.4022  1.2639         
ave.outcome.prev10              0.3153   0.2565   -0.0588          0.0395   -0.2274 -1.4904        
---Overall Test---
      chisquare df p.value
strat      7.41  6   0.284
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     26 
$p.values
ForceUS     NPC 
   0.21    0.21 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.036739790 78.446049581  0.009809167 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.01840909 84.12891414 -0.03621212 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.792224   1.358398   1.152131 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.6378163  1.3015136  0.3458149 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs FALSE ***


Sat Apr 25 08:23:45 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.449509e-02  8.012101e-02  8.889793e-02  8.889793e-02  1.003790e-01  1.127404e-01  1.485332e-01  2.701190e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.261542e-01  4.004737e-01  5.493962e-01  5.693968e-01  6.260595e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  9.226903e-01  9.491573e-01  9.602363e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.926229e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	8.077939e-02  9.765465e-02  1.104149e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.471853e-01  2.530936e-01  2.646695e-01  3.006750e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  5.189247e-01  5.339385e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.819487e-01  7.487254e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.640951e-01  7.869298e-01  8.513904e-01  8.720292e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.885960e-01  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	9.554332e-02  1.001538e-01  1.640792e-01  1.644876e-01  1.725890e-01  1.725890e-01  2.471853e-01  2.530936e-01  2.627440e-01  3.006750e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.004737e-01  5.189247e-01  5.320403e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  6.363697e-01  7.365862e-01  7.411646e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.513904e-01  8.720292e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.886569e-01  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	1.037162e-01  1.326824e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  2.204001e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.325771e-01  3.716135e-01  3.935408e-01  4.004737e-01  4.073425e-01  5.686713e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  7.190781e-01  7.278068e-01  7.379962e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.231845e-01  8.594415e-01  8.663542e-01  9.351631e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.037162e-01  1.326824e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.483047e-01  1.640792e-01  2.204001e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.325771e-01  3.716135e-01  3.935408e-01  4.004737e-01  4.073425e-01  5.686713e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  7.190781e-01  7.278068e-01  7.379962e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.231845e-01  8.594415e-01  8.663542e-01  9.351631e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.238303e+02
 X[ 2] :	6.358365e+02
 X[ 3] :	3.742532e+02
 X[ 4] :	1.089832e+02
 X[ 5] :	6.505854e+02
 X[ 6] :	6.408128e+02
 X[ 7] :	9.157563e+02
 X[ 8] :	7.719794e+02
 X[ 9] :	1.648380e+02
 X[10] :	3.481322e+02
 X[11] :	1.546044e+02
 X[12] :	4.572895e+02
 X[13] :	7.326165e+02
 X[14] :	7.695328e+01
 X[15] :	1.027219e+02
 X[16] :	2.393602e+02
 X[17] :	8.024741e+02
 X[18] :	3.674890e+02
 X[19] :	3.657251e+02
 X[20] :	1.100437e+02
 X[21] :	7.370248e+02
 X[22] :	4.392962e+02

Solution Found Generation 3
Number of Generations Run 14

Sat Apr 25 08:56:37 2015
Total run time : 0 hours 32 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4 Roosevelt, T.         9          7
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7         Obama         4          3
10     Clinton        24         10        Truman         6          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.6 
std mean diff.........    -37.295 	 	     -38.73 

mean raw eQQ diff.....        0.2 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	        0.1 
med  eCDF diff........   0.096296 	 	        0.1 
max  eCDF diff........    0.19259 	 	        0.2 

var ratio (Tr/Co).....     1.0636 	 	          1 
T-test p-value........    0.32516 	 	     0.1483 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1907.8 
std mean diff.........    -41.025 	 	    -32.152 

mean raw eQQ diff.....       27.1 	 	       29.4 
med  raw eQQ diff.....         26 	 	         20 
max  raw eQQ diff.....         56 	 	         64 

mean eCDF diff........    0.16346 	 	       0.14 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.3 

var ratio (Tr/Co).....     1.7622 	 	     1.4459 
T-test p-value........    0.25944 	 	    0.13268 
KS Bootstrap p-value..      0.085 	 	      0.674 
KS Naive p-value......    0.10178 	 	    0.78693 
KS Statistic..........    0.42593 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.4 
std mean diff.........     -37.57 	 	    -20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.090741 	 	       0.05 
med  eCDF diff........   0.090741 	 	       0.05 
max  eCDF diff........    0.18148 	 	        0.1 

var ratio (Tr/Co).....        0.9 	 	      0.875 
T-test p-value........    0.33138 	 	    0.57149 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	      1.951 
std mean diff.........    -8.8585 	 	    -8.6228 

mean raw eQQ diff.....    0.16356 	 	    0.30637 
med  raw eQQ diff.....    0.03126 	 	    0.25541 
max  raw eQQ diff.....    0.58779 	 	     1.0986 

mean eCDF diff........   0.074074 	 	   0.078571 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	     1.2672 
T-test p-value........    0.80643 	 	    0.82318 
KS Bootstrap p-value..      0.878 	 	      0.968 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        6.7 
std mean diff.........    -20.716 	 	    -1.6072 

mean raw eQQ diff.....        1.7 	 	        1.5 
med  raw eQQ diff.....          1 	 	        1.5 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........   0.087407 	 	   0.092308 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     1.1235 
T-test p-value........    0.58014 	 	    0.93516 
KS Bootstrap p-value..      0.433 	 	      0.608 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     5.1611 
std mean diff.........     11.067 	 	     10.464 

mean raw eQQ diff.....     1.0609 	 	     1.2307 
med  raw eQQ diff.....    0.61465 	 	    0.65161 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	    0.13077 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.3 

var ratio (Tr/Co).....    0.99841 	 	    0.63218 
T-test p-value........    0.76884 	 	    0.72781 
KS Bootstrap p-value..      0.649 	 	      0.603 
KS Naive p-value......    0.88926 	 	     0.7591 
KS Statistic..........    0.21481 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.42976 
std mean diff.........     89.844 	 	     47.309 

mean raw eQQ diff.....    0.31915 	 	     0.1753 
med  raw eQQ diff.....    0.30952 	 	    0.15152 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.11818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.3847 
T-test p-value........   0.022897 	 	    0.10372 
KS Bootstrap p-value..      0.059 	 	      0.634 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0926 
std mean diff.........     -99.26 	 	    -58.356 

mean raw eQQ diff.....     1.0072 	 	    0.64067 
med  raw eQQ diff.....    0.83552 	 	     0.4069 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.11765 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.2 

var ratio (Tr/Co).....    0.72059 	 	    0.84904 
T-test p-value........   0.019567 	 	     0.2204 
KS Bootstrap p-value..      0.191 	 	      0.969 
KS Naive p-value......    0.28036 	 	    0.98826 
KS Statistic..........    0.36667 	 	        0.2 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.28714 
std mean diff.........     32.526 	 	      9.858 

mean raw eQQ diff.....    0.12992 	 	    0.10944 
med  raw eQQ diff.....   0.054371 	 	   0.071429 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	   0.081818 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.2083 
T-test p-value........    0.35058 	 	    0.56867 
KS Bootstrap p-value..      0.599 	 	      0.921 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.38556 
std mean diff.........     33.347 	 	     6.8283 

mean raw eQQ diff.....   0.098807 	 	   0.048526 
med  raw eQQ diff.....   0.091521 	 	   0.045833 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	      0.075 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.81386 
T-test p-value........    0.37761 	 	    0.86635 
KS Bootstrap p-value..      0.073 	 	      0.965 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4492 
std mean diff.........    -53.044 	 	     9.5506 

mean raw eQQ diff.....    0.65346 	 	     0.4049 
med  raw eQQ diff.....    0.46361 	 	    0.27949 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.22632 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.42708 
T-test p-value........    0.28676 	 	    0.85944 
KS Bootstrap p-value..      0.214 	 	      0.125 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.29438 
std mean diff.........     19.565 	 	     -18.45 

mean raw eQQ diff.....   0.060546 	 	   0.067196 
med  raw eQQ diff.....   0.058442 	 	   0.063034 
max  raw eQQ diff.....    0.11538 	 	       0.15 

mean eCDF diff........   0.087923 	 	       0.08 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	     0.7257 
T-test p-value........    0.60255 	 	    0.33258 
KS Bootstrap p-value..      0.555 	 	      0.963 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	        0.2 
std mean diff.........    -15.226 	 	    -31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	     0.5625 
T-test p-value........    0.69735 	 	    0.57149 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.0679 
std mean diff.........    -49.221 	 	    -33.237 

mean raw eQQ diff.....    0.82964 	 	    0.77747 
med  raw eQQ diff.....          0 	 	    0.34667 
max  raw eQQ diff.....     4.1458 	 	     2.2851 

mean eCDF diff........    0.12926 	 	        0.1 
med  eCDF diff........    0.07037 	 	       0.05 
max  eCDF diff........    0.45556 	 	        0.4 

var ratio (Tr/Co).....    0.96125 	 	     1.2689 
T-test p-value........    0.20414 	 	    0.40734 
KS Bootstrap p-value..      0.032 	 	      0.231 
KS Naive p-value......   0.096734 	 	    0.40047 
KS Statistic..........    0.45556 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     30.904 
std mean diff.........    -22.512 	 	     6.8226 

mean raw eQQ diff.....     6.2606 	 	     3.7782 
med  raw eQQ diff.....      3.276 	 	     3.2273 
max  raw eQQ diff.....     18.417 	 	     7.0714 

mean eCDF diff........   0.076144 	 	   0.094444 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	      1.208 
T-test p-value........    0.54958 	 	    0.71908 
KS Bootstrap p-value..      0.553 	 	      0.681 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.2 
std mean diff.........     20.082 	 	      38.73 

mean raw eQQ diff.....        0.1 	 	        0.2 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.051852 	 	        0.1 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........     0.1037 	 	        0.2 

var ratio (Tr/Co).....     1.2316 	 	        1.5 
T-test p-value........    0.58599 	 	     0.1483 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       12.8 
std mean diff.........    -2.4179 	 	     20.864 

mean raw eQQ diff.....        2.6 	 	        4.3 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	         17 

mean eCDF diff........   0.068921 	 	    0.11429 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....      1.332 	 	     1.6238 
T-test p-value........    0.94701 	 	    0.37161 
KS Bootstrap p-value..      0.739 	 	      0.625 
KS Naive p-value......    0.93225 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.7 
std mean diff.........      179.2 	 	     63.246 

mean raw eQQ diff.....        0.6 	 	        0.2 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.28333 	 	        0.1 
med  eCDF diff........    0.28333 	 	        0.1 
max  eCDF diff........    0.56667 	 	        0.2 

var ratio (Tr/Co).....    0.43333 	 	    0.42857 
T-test p-value........ 0.00033381 	 	    0.31932 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3526 	 	    0.42858 
std mean diff.........     30.321 	 	     21.436 

mean raw eQQ diff.....    0.28912 	 	    0.27708 
med  raw eQQ diff.....    0.10459 	 	   0.081799 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........      0.122 	 	   0.089474 
med  eCDF diff........    0.11667 	 	        0.1 
max  eCDF diff........    0.26667 	 	        0.2 

var ratio (Tr/Co).....      13.57 	 	     7.6871 
T-test p-value........     0.3676 	 	    0.39354 
KS Bootstrap p-value..      0.493 	 	      0.976 
KS Naive p-value......    0.67713 	 	    0.98826 
KS Statistic..........    0.26667 	 	        0.2 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........    0.53704 	 	      0.725 
std mean diff.........     38.914 	 	    -14.103 

mean raw eQQ diff.....      0.175 	 	       0.05 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.11037 	 	       0.04 
med  eCDF diff........    0.13333 	 	          0 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....    0.77571 	 	      1.071 
T-test p-value........    0.32462 	 	      0.738 
KS Bootstrap p-value..      0.607 	 	      0.994 
KS Naive p-value......    0.94949 	 	          1 
KS Statistic..........    0.19259 	 	        0.1 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.10372 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.42976 
std mean diff.........     89.844 	 	     47.309 

mean raw eQQ diff.....    0.31915 	 	     0.1753 
med  raw eQQ diff.....    0.30952 	 	    0.15152 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.11818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.3847 
T-test p-value........   0.022897 	 	    0.10372 
KS Bootstrap p-value..      0.065 	 	      0.602 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0926 
std mean diff.........     -99.26 	 	    -58.356 

mean raw eQQ diff.....     1.0072 	 	    0.64067 
med  raw eQQ diff.....    0.83552 	 	     0.4069 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.11765 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.2 

var ratio (Tr/Co).....    0.72059 	 	    0.84904 
T-test p-value........   0.019567 	 	     0.2204 
KS Bootstrap p-value..      0.175 	 	      0.962 
KS Naive p-value......    0.28036 	 	    0.98826 
KS Statistic..........    0.36667 	 	        0.2 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.28714 
std mean diff.........     32.526 	 	      9.858 

mean raw eQQ diff.....    0.12992 	 	    0.10944 
med  raw eQQ diff.....   0.054371 	 	   0.071429 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.080117 	 	   0.081818 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.2083 
T-test p-value........    0.35058 	 	    0.56867 
KS Bootstrap p-value..      0.593 	 	      0.923 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.38556 
std mean diff.........     33.347 	 	     6.8283 

mean raw eQQ diff.....   0.098807 	 	   0.048526 
med  raw eQQ diff.....   0.091521 	 	   0.045833 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	      0.075 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.81386 
T-test p-value........    0.37761 	 	    0.86635 
KS Bootstrap p-value..      0.087 	 	      0.966 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4492 
std mean diff.........    -53.044 	 	     9.5506 

mean raw eQQ diff.....    0.65346 	 	     0.4049 
med  raw eQQ diff.....    0.46361 	 	    0.27949 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.22632 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.42708 
T-test p-value........    0.28676 	 	    0.85944 
KS Bootstrap p-value..      0.196 	 	      0.138 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.29438 
std mean diff.........     19.565 	 	     -18.45 

mean raw eQQ diff.....   0.060546 	 	   0.067196 
med  raw eQQ diff.....   0.058442 	 	   0.063034 
max  raw eQQ diff.....    0.11538 	 	       0.15 

mean eCDF diff........   0.087923 	 	       0.08 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	     0.7257 
T-test p-value........    0.60255 	 	    0.33258 
KS Bootstrap p-value..      0.572 	 	      0.962 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.10372 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4298   0.6051   0.1753           0.1116   0.5098  1.5710         
ave.log.duration.prev5          2.0926   1.4520   -0.6407          0.5270   -0.5592 -1.2157        
ave.outcome.prev5               0.2871   0.3277   0.0406           0.0698   0.1157  0.5815         
ForceUS.prop.prev10             0.3856   0.4019   0.0163           0.0943   0.0647  0.1729         
ave.log.duration.prev10         2.4492   2.5009   0.0517           0.2842   0.0739  0.1819         
ave.outcome.prev10              0.2944   0.2565   -0.0379          0.0389   -0.1692 -0.9742        
---Overall Test---
      chisquare df p.value
strat      6.63  6   0.357
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     37 
$p.values
ForceUS     NPC 
  0.181   0.181 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.21866897 55.34226448  0.01469317 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2509091 56.5805808  0.1521212 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
15.4161625  0.9648556  1.5385696 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.9616707  0.7565134  0.7832644 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs TRUE ***


Sat Apr 25 10:43:56 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	8.852739e-02  1.216066e-01  1.640792e-01  1.640792e-01  1.756214e-01  1.869557e-01  1.877981e-01  2.565283e-01  3.532136e-01  3.991241e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.143081e-01  5.427644e-01  5.714912e-01  5.714912e-01  6.079428e-01  6.184011e-01  6.662452e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.002037e-01  9.109467e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	1.501628e-01  1.532683e-01  1.565991e-01  1.640792e-01  1.640792e-01  1.710248e-01  2.214998e-01  2.418033e-01  2.765980e-01  2.948063e-01  3.193156e-01  3.193156e-01  3.429267e-01  4.004737e-01  4.004737e-01  4.726729e-01  5.278535e-01  5.524048e-01  5.714912e-01  5.714912e-01  6.230689e-01  6.317098e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.493635e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	1.640792e-01  1.640792e-01  1.694662e-01  2.098878e-01  2.605791e-01  2.635125e-01  2.765980e-01  2.987753e-01  2.997513e-01  3.089721e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.429267e-01  3.986496e-01  4.004737e-01  4.004737e-01  4.315353e-01  7.087932e-01  7.117714e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.871235e-01  9.674330e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	1.640792e-01  1.669441e-01  1.873494e-01  1.885898e-01  2.898354e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.376404e-01  3.655301e-01  4.004737e-01  4.083844e-01  4.627461e-01  4.867152e-01  4.993263e-01  5.412603e-01  5.714912e-01  5.714912e-01  5.874165e-01  6.184981e-01  6.660643e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.956252e-01  1.000000e+00  1.000000e+00  

      6 	1.640792e-01  1.771935e-01  1.880543e-01  1.977498e-01  3.193156e-01  3.193156e-01  3.237007e-01  3.265259e-01  3.296422e-01  4.004737e-01  4.004737e-01  4.288225e-01  4.472257e-01  4.976126e-01  5.192272e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.914272e-01  6.225274e-01  7.056962e-01  7.314440e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.635551e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      7 	1.813375e-01  2.124968e-01  2.322984e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.437250e-01  3.815845e-01  3.925747e-01  4.004737e-01  4.004737e-01  4.976126e-01  5.342107e-01  5.401851e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.812702e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.682709e-01  7.845137e-01  9.196449e-01  9.636226e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.813375e-01  2.124968e-01  2.322984e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.437250e-01  3.815845e-01  3.925747e-01  4.004737e-01  4.004737e-01  4.976126e-01  5.342107e-01  5.401851e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.714912e-01  5.812702e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.682709e-01  7.845137e-01  9.196449e-01  9.636226e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	4.326457e+02
 X[ 2] :	5.723226e+02
 X[ 3] :	9.424049e+02
 X[ 4] :	1.700792e+02
 X[ 5] :	4.870226e+02
 X[ 6] :	8.598457e+02
 X[ 7] :	7.343552e+02
 X[ 8] :	6.977632e+02
 X[ 9] :	3.350120e+01
 X[10] :	6.912311e+02
 X[11] :	6.063022e+01
 X[12] :	5.789517e+02
 X[13] :	1.101046e+02
 X[14] :	7.436215e+01
 X[15] :	1.221952e+02
 X[16] :	3.830522e+02
 X[17] :	5.820698e+02
 X[18] :	2.135089e+02
 X[19] :	4.809031e+02
 X[20] :	2.863332e+01
 X[21] :	6.934198e+02
 X[22] :	6.937161e+02

Solution Found Generation 7
Number of Generations Run 18

Sat Apr 25 11:21:20 2015
Total run time : 0 hours 37 minutes and 24 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7         Obama         4          3
10     Clinton        24         10        Truman         6          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.5 
std mean diff.........    -37.295 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	       0.05 
med  eCDF diff........   0.096296 	 	       0.05 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....     1.0636 	 	       0.96 
T-test p-value........    0.32516 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	       1895 
std mean diff.........    -41.025 	 	    -13.942 

mean raw eQQ diff.....       27.1 	 	       16.6 
med  raw eQQ diff.....         26 	 	         16 
max  raw eQQ diff.....         56 	 	         36 

mean eCDF diff........    0.16346 	 	   0.077778 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.2 

var ratio (Tr/Co).....     1.7622 	 	     1.1895 
T-test p-value........    0.25944 	 	    0.38158 
KS Bootstrap p-value..      0.085 	 	      0.973 
KS Naive p-value......    0.10178 	 	    0.98826 
KS Statistic..........    0.42593 	 	        0.2 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.4 
std mean diff.........     -37.57 	 	    -20.702 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.090741 	 	       0.05 
med  eCDF diff........   0.090741 	 	       0.05 
max  eCDF diff........    0.18148 	 	        0.1 

var ratio (Tr/Co).....        0.9 	 	      0.875 
T-test p-value........    0.33138 	 	    0.57149 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     1.8893 
std mean diff.........    -8.8585 	 	    -3.7599 

mean raw eQQ diff.....    0.16356 	 	    0.36813 
med  raw eQQ diff.....    0.03126 	 	    0.30432 
max  raw eQQ diff.....    0.58779 	 	     1.0986 

mean eCDF diff........   0.074074 	 	    0.11667 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.2 

var ratio (Tr/Co).....     1.4349 	 	     1.3595 
T-test p-value........    0.80643 	 	    0.91964 
KS Bootstrap p-value..      0.878 	 	      0.948 
KS Naive p-value......     0.9752 	 	    0.98826 
KS Statistic..........    0.17778 	 	        0.2 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        7.3 
std mean diff.........    -20.716 	 	    -11.251 

mean raw eQQ diff.....        1.7 	 	        1.5 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........   0.087407 	 	   0.092308 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     1.2093 
T-test p-value........    0.58014 	 	    0.49761 
KS Bootstrap p-value..      0.433 	 	       0.64 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     5.2159 
std mean diff.........     11.067 	 	     8.2163 

mean raw eQQ diff.....     1.0609 	 	      1.194 
med  raw eQQ diff.....    0.61465 	 	    0.65161 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	      0.125 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.3 

var ratio (Tr/Co).....    0.99841 	 	    0.64438 
T-test p-value........    0.76884 	 	    0.78451 
KS Bootstrap p-value..      0.649 	 	      0.566 
KS Naive p-value......    0.88926 	 	     0.7591 
KS Statistic..........    0.21481 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	     0.4881 
std mean diff.........     89.844 	 	     31.567 

mean raw eQQ diff.....    0.31915 	 	    0.12697 
med  raw eQQ diff.....    0.30952 	 	   0.072619 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	       0.09 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	     1.2673 
T-test p-value........   0.022897 	 	     0.2125 
KS Bootstrap p-value..      0.059 	 	      0.901 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.2633 
std mean diff.........     -99.26 	 	    -73.903 

mean raw eQQ diff.....     1.0072 	 	    0.81135 
med  raw eQQ diff.....    0.83552 	 	    0.51073 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	       0.15 
med  eCDF diff........    0.21852 	 	       0.15 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.2156 
T-test p-value........   0.019567 	 	    0.18134 
KS Bootstrap p-value..      0.191 	 	      0.655 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.23714 
std mean diff.........     32.526 	 	      22.01 

mean raw eQQ diff.....    0.12992 	 	    0.10056 
med  raw eQQ diff.....   0.054371 	 	   0.019481 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	   0.072727 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.3565 
T-test p-value........    0.35058 	 	    0.34373 
KS Bootstrap p-value..      0.599 	 	      0.933 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	     0.4502 
std mean diff.........     33.347 	 	    -20.238 

mean raw eQQ diff.....   0.098807 	 	   0.087058 
med  raw eQQ diff.....   0.091521 	 	   0.045833 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	   0.071429 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.55128 
T-test p-value........    0.37761 	 	    0.53421 
KS Bootstrap p-value..      0.073 	 	      0.965 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4889 
std mean diff.........    -53.044 	 	     2.2324 

mean raw eQQ diff.....    0.65346 	 	    0.43752 
med  raw eQQ diff.....    0.46361 	 	    0.26452 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	        0.2 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.36557 
T-test p-value........    0.28676 	 	    0.96362 
KS Bootstrap p-value..      0.214 	 	       0.34 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.29367 
std mean diff.........     19.565 	 	    -18.102 

mean raw eQQ diff.....   0.060546 	 	   0.082379 
med  raw eQQ diff.....   0.058442 	 	   0.067521 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	   0.092857 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	     0.5763 
T-test p-value........    0.60255 	 	    0.58127 
KS Bootstrap p-value..      0.555 	 	      0.671 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	        0.2 
std mean diff.........    -15.226 	 	    -31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	     0.5625 
T-test p-value........    0.69735 	 	    0.57149 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.5477 
std mean diff.........    -49.221 	 	    -12.728 

mean raw eQQ diff.....    0.82964 	 	    0.66987 
med  raw eQQ diff.....          0 	 	    0.34667 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........    0.12926 	 	       0.07 
med  eCDF diff........    0.07037 	 	       0.05 
max  eCDF diff........    0.45556 	 	        0.3 

var ratio (Tr/Co).....    0.96125 	 	     2.2455 
T-test p-value........    0.20414 	 	    0.76827 
KS Bootstrap p-value..      0.032 	 	       0.48 
KS Naive p-value......   0.096734 	 	     0.7591 
KS Statistic..........    0.45556 	 	        0.3 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	      29.88 
std mean diff.........    -22.512 	 	     12.062 

mean raw eQQ diff.....     6.2606 	 	     3.7231 
med  raw eQQ diff.....      3.276 	 	     3.2273 
max  raw eQQ diff.....     18.417 	 	     7.1429 

mean eCDF diff........   0.076144 	 	        0.1 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	     1.1362 
T-test p-value........    0.54958 	 	    0.54019 
KS Bootstrap p-value..      0.553 	 	      0.639 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.3 
std mean diff.........     20.082 	 	     19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.051852 	 	       0.05 
med  eCDF diff........   0.051852 	 	       0.05 
max  eCDF diff........     0.1037 	 	        0.1 

var ratio (Tr/Co).....     1.2316 	 	     1.1429 
T-test p-value........    0.58599 	 	    0.57149 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	         13 
std mean diff.........    -2.4179 	 	     19.518 

mean raw eQQ diff.....        2.6 	 	        4.3 
med  raw eQQ diff.....          2 	 	        2.5 
max  raw eQQ diff.....          9 	 	         17 

mean eCDF diff........   0.068921 	 	    0.11429 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.3 

var ratio (Tr/Co).....      1.332 	 	     1.6448 
T-test p-value........    0.94701 	 	    0.39257 
KS Bootstrap p-value..      0.739 	 	      0.636 
KS Naive p-value......    0.93225 	 	     0.7591 
KS Statistic..........        0.2 	 	        0.3 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.9 
std mean diff.........      179.2 	 	          0 

mean raw eQQ diff.....        0.6 	 	          0 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.28333 	 	          0 
med  eCDF diff........    0.28333 	 	          0 
max  eCDF diff........    0.56667 	 	          0 

var ratio (Tr/Co).....    0.43333 	 	          1 
T-test p-value........ 0.00033381 	 	          1 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3526 	 	      0.343 
std mean diff.........     30.321 	 	     31.443 

mean raw eQQ diff.....    0.28912 	 	    0.30823 
med  raw eQQ diff.....    0.10459 	 	   0.091742 
max  raw eQQ diff.....     2.0547 	 	     2.1983 

mean eCDF diff........      0.122 	 	    0.12941 
med  eCDF diff........    0.11667 	 	        0.1 
max  eCDF diff........    0.26667 	 	        0.4 

var ratio (Tr/Co).....      13.57 	 	     16.589 
T-test p-value........     0.3676 	 	     0.2323 
KS Bootstrap p-value..      0.493 	 	      0.317 
KS Naive p-value......    0.67713 	 	    0.40047 
KS Statistic..........    0.26667 	 	        0.4 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........    0.53704 	 	      0.675 
std mean diff.........     38.914 	 	          0 

mean raw eQQ diff.....      0.175 	 	       0.05 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.11037 	 	       0.04 
med  eCDF diff........    0.13333 	 	          0 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....    0.77571 	 	    0.75104 
T-test p-value........    0.32462 	 	          1 
KS Bootstrap p-value..      0.607 	 	      0.991 
KS Naive p-value......    0.94949 	 	          1 
KS Statistic..........    0.19259 	 	        0.1 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.18134 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	     0.4881 
std mean diff.........     89.844 	 	     31.567 

mean raw eQQ diff.....    0.31915 	 	    0.12697 
med  raw eQQ diff.....    0.30952 	 	   0.072619 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	       0.09 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	     1.2673 
T-test p-value........   0.022897 	 	     0.2125 
KS Bootstrap p-value..      0.065 	 	      0.923 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.2633 
std mean diff.........     -99.26 	 	    -73.903 

mean raw eQQ diff.....     1.0072 	 	    0.81135 
med  raw eQQ diff.....    0.83552 	 	    0.51073 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	       0.15 
med  eCDF diff........    0.21852 	 	       0.15 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.2156 
T-test p-value........   0.019567 	 	    0.18134 
KS Bootstrap p-value..      0.175 	 	       0.66 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.23714 
std mean diff.........     32.526 	 	      22.01 

mean raw eQQ diff.....    0.12992 	 	    0.10056 
med  raw eQQ diff.....   0.054371 	 	   0.019481 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	   0.072727 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.3565 
T-test p-value........    0.35058 	 	    0.34373 
KS Bootstrap p-value..      0.593 	 	      0.914 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	     0.4502 
std mean diff.........     33.347 	 	    -20.238 

mean raw eQQ diff.....   0.098807 	 	   0.087058 
med  raw eQQ diff.....   0.091521 	 	   0.045833 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	   0.071429 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.2 

var ratio (Tr/Co).....     1.0618 	 	    0.55128 
T-test p-value........    0.37761 	 	    0.53421 
KS Bootstrap p-value..      0.087 	 	      0.952 
KS Naive p-value......     0.1551 	 	    0.98826 
KS Statistic..........    0.41852 	 	        0.2 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.4889 
std mean diff.........    -53.044 	 	     2.2324 

mean raw eQQ diff.....    0.65346 	 	    0.43752 
med  raw eQQ diff.....    0.46361 	 	    0.26452 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	        0.2 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.4 

var ratio (Tr/Co).....    0.26561 	 	    0.36557 
T-test p-value........    0.28676 	 	    0.96362 
KS Bootstrap p-value..      0.196 	 	      0.326 
KS Naive p-value......    0.31481 	 	    0.40047 
KS Statistic..........    0.35556 	 	        0.4 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.29367 
std mean diff.........     19.565 	 	    -18.102 

mean raw eQQ diff.....   0.060546 	 	   0.082379 
med  raw eQQ diff.....   0.058442 	 	   0.067521 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	   0.092857 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	     0.5763 
T-test p-value........    0.60255 	 	    0.58127 
KS Bootstrap p-value..      0.572 	 	      0.648 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.18134 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4881   0.6051   0.1170           0.0947   0.3338  1.2353         
ave.log.duration.prev5          2.2633   1.4520   -0.8114          0.6160   -0.7742 -1.3171        
ave.outcome.prev5               0.2371   0.3277   0.0906           0.0950   0.2608  0.9529         
ForceUS.prop.prev10             0.4502   0.4019   -0.0483          0.0763   -0.1706 -0.6332        
ave.log.duration.prev10         2.4889   2.5009   0.0121           0.2577   0.0163  0.0469         
ave.outcome.prev10              0.2937   0.2565   -0.0371          0.0660   -0.1548 -0.5629        
---Overall Test---
      chisquare df p.value
strat       5.7  6   0.458
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     33 
$p.values
ForceUS     NPC 
   0.24    0.24 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.19943820 57.39446228  0.00782504 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.13424242 54.76391414  0.05212121 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
14.4592697  0.4882641  0.9164326 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5708048  0.7905367  0.5402730 

Closed Testing
Intersection 1 of 7 

*** primary full.covs FALSE ***


Sat Apr 25 13:11:17 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	8.889793e-02  8.889793e-02  1.301736e-01  1.393757e-01  1.483047e-01  1.483047e-01  1.640792e-01  1.808891e-01  1.913119e-01  1.979953e-01  2.374846e-01  2.479191e-01  2.672457e-01  3.066172e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  4.004737e-01  4.562539e-01  4.901456e-01  6.636409e-01  6.917260e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.592498e-01  7.869298e-01  8.101974e-01  8.636039e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	1.175945e-01  1.301736e-01  1.355115e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.150805e-01  2.374846e-01  2.450947e-01  2.760249e-01  2.810425e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.667631e-01  3.734214e-01  4.004737e-01  4.132885e-01  5.714912e-01  5.714912e-01  5.763358e-01  6.815510e-01  6.917260e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.101974e-01  8.170765e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	1.204703e-01  1.414154e-01  1.445693e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.015100e-01  2.176838e-01  2.349819e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.263496e-01  3.661009e-01  3.862692e-01  3.885927e-01  4.004737e-01  4.292914e-01  5.714912e-01  5.714912e-01  5.763358e-01  6.770756e-01  7.074056e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.136889e-01  8.322561e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.204703e-01  1.414154e-01  1.445693e-01  1.640792e-01  1.725890e-01  1.725890e-01  2.015100e-01  2.176838e-01  2.349819e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.263496e-01  3.661009e-01  3.862692e-01  3.885927e-01  4.004737e-01  4.292914e-01  5.714912e-01  5.714912e-01  5.763358e-01  6.770756e-01  7.074056e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.869298e-01  8.136889e-01  8.322561e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.973180e+02
 X[ 2] :	5.722749e+02
 X[ 3] :	7.684658e+02
 X[ 4] :	5.347913e+02
 X[ 5] :	7.346343e+02
 X[ 6] :	4.211582e+02
 X[ 7] :	9.454297e+02
 X[ 8] :	1.171326e+02
 X[ 9] :	7.457683e+02
 X[10] :	6.519561e+02
 X[11] :	9.607278e+00
 X[12] :	4.468889e+01
 X[13] :	1.072101e+02
 X[14] :	4.994774e+02
 X[15] :	7.314624e+02
 X[16] :	4.677075e+02
 X[17] :	4.253888e+02
 X[18] :	8.067590e+02
 X[19] :	4.157024e+02
 X[20] :	4.636361e+01
 X[21] :	8.890641e+02
 X[22] :	7.736077e+02
 X[23] :	8.051219e+02
 X[24] :	9.590490e+01

Solution Found Generation 2
Number of Generations Run 13

Sat Apr 25 13:43:14 2015
Total run time : 0 hours 31 minutes and 57 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.5 
std mean diff.........    -37.295 	 	    -19.365 

mean raw eQQ diff.....        0.2 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.096296 	 	       0.05 
med  eCDF diff........   0.096296 	 	       0.05 
max  eCDF diff........    0.19259 	 	        0.1 

var ratio (Tr/Co).....     1.0636 	 	       0.96 
T-test p-value........    0.32516 	 	    0.31932 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1907.1 
std mean diff.........    -41.025 	 	    -31.156 

mean raw eQQ diff.....       27.1 	 	       22.9 
med  raw eQQ diff.....         26 	 	         20 
max  raw eQQ diff.....         56 	 	         64 

mean eCDF diff........    0.16346 	 	       0.13 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.3 

var ratio (Tr/Co).....     1.7622 	 	     1.3293 
T-test p-value........    0.25944 	 	    0.12047 
KS Bootstrap p-value..      0.085 	 	      0.687 
KS Naive p-value......    0.10178 	 	    0.78693 
KS Statistic..........    0.42593 	 	        0.3 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.3 
std mean diff.........     -37.57 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.090741 	 	          0 
med  eCDF diff........   0.090741 	 	          0 
max  eCDF diff........    0.18148 	 	          0 

var ratio (Tr/Co).....        0.9 	 	          1 
T-test p-value........    0.33138 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     2.3036 
std mean diff.........    -8.8585 	 	     -36.38 

mean raw eQQ diff.....    0.16356 	 	    0.61666 
med  raw eQQ diff.....    0.03126 	 	    0.49582 
max  raw eQQ diff.....    0.58779 	 	     1.6094 

mean eCDF diff........   0.074074 	 	    0.12143 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.3 

var ratio (Tr/Co).....     1.4349 	 	     3.1573 
T-test p-value........    0.80643 	 	    0.23498 
KS Bootstrap p-value..      0.878 	 	      0.662 
KS Naive p-value......     0.9752 	 	     0.7591 
KS Statistic..........    0.17778 	 	        0.3 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        8.1 
std mean diff.........    -20.716 	 	    -24.109 

mean raw eQQ diff.....        1.7 	 	        1.9 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........   0.087407 	 	   0.092308 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	    0.88674 
T-test p-value........    0.58014 	 	    0.20151 
KS Bootstrap p-value..      0.433 	 	      0.592 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     5.7421 
std mean diff.........     11.067 	 	    -13.387 

mean raw eQQ diff.....     1.0609 	 	    0.76961 
med  raw eQQ diff.....    0.61465 	 	   0.046544 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	   0.083333 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.2 

var ratio (Tr/Co).....    0.99841 	 	    0.61224 
T-test p-value........    0.76884 	 	    0.57634 
KS Bootstrap p-value..      0.649 	 	      0.914 
KS Naive p-value......    0.88926 	 	    0.98826 
KS Statistic..........    0.21481 	 	        0.2 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.35197 
std mean diff.........     89.844 	 	     68.305 

mean raw eQQ diff.....    0.31915 	 	     0.2531 
med  raw eQQ diff.....    0.30952 	 	    0.21842 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.30638 	 	        0.2 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.4518 
T-test p-value........   0.022897 	 	    0.14457 
KS Bootstrap p-value..      0.059 	 	      0.626 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0867 
std mean diff.........     -99.26 	 	    -57.811 

mean raw eQQ diff.....     1.0072 	 	    0.65467 
med  raw eQQ diff.....    0.83552 	 	      0.336 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.10556 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.2523 
T-test p-value........   0.019567 	 	    0.14142 
KS Bootstrap p-value..      0.191 	 	      0.696 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.24241 
std mean diff.........     32.526 	 	      20.73 

mean raw eQQ diff.....    0.12992 	 	    0.10894 
med  raw eQQ diff.....   0.054371 	 	   0.046303 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.080117 	 	   0.072727 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.4888 
T-test p-value........    0.35058 	 	    0.38859 
KS Bootstrap p-value..      0.599 	 	      0.921 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.37181 
std mean diff.........     33.347 	 	     12.585 

mean raw eQQ diff.....   0.098807 	 	   0.055185 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	        0.1 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.80024 
T-test p-value........    0.37761 	 	    0.81369 
KS Bootstrap p-value..      0.073 	 	      0.665 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.3835 
std mean diff.........    -53.044 	 	     21.695 

mean raw eQQ diff.....    0.65346 	 	    0.52347 
med  raw eQQ diff.....    0.46361 	 	    0.47883 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	        0.2 
med  eCDF diff........    0.16481 	 	        0.1 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.36379 
T-test p-value........    0.28676 	 	    0.70741 
KS Bootstrap p-value..      0.214 	 	      0.121 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.27447 
std mean diff.........     19.565 	 	    -8.7466 

mean raw eQQ diff.....   0.060546 	 	   0.069928 
med  raw eQQ diff.....   0.058442 	 	   0.062958 
max  raw eQQ diff.....    0.11538 	 	    0.13462 

mean eCDF diff........   0.087923 	 	      0.075 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.70657 
T-test p-value........    0.60255 	 	    0.83226 
KS Bootstrap p-value..      0.555 	 	      0.961 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	          0 
std mean diff.........    -15.226 	 	     31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	        Inf 
T-test p-value........    0.69735 	 	    0.31932 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -2.8909 
std mean diff.........    -49.221 	 	    -40.804 

mean raw eQQ diff.....    0.82964 	 	    0.95448 
med  raw eQQ diff.....          0 	 	    0.38818 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........    0.12926 	 	     0.1375 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.45556 	 	        0.4 

var ratio (Tr/Co).....    0.96125 	 	    0.78278 
T-test p-value........    0.20414 	 	    0.21768 
KS Bootstrap p-value..      0.032 	 	      0.217 
KS Naive p-value......   0.096734 	 	    0.40047 
KS Statistic..........    0.45556 	 	        0.4 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     35.445 
std mean diff.........    -22.512 	 	    -16.429 

mean raw eQQ diff.....     6.2606 	 	     4.6145 
med  raw eQQ diff.....      3.276 	 	     4.5487 
max  raw eQQ diff.....     18.417 	 	     13.667 

mean eCDF diff........   0.076144 	 	   0.077778 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.2 

var ratio (Tr/Co).....     1.0418 	 	    0.82044 
T-test p-value........    0.54958 	 	    0.32635 
KS Bootstrap p-value..      0.553 	 	      0.963 
KS Naive p-value......    0.72724 	 	    0.98826 
KS Statistic..........    0.25556 	 	        0.2 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.4 
std mean diff.........     20.082 	 	          0 

mean raw eQQ diff.....        0.1 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.051852 	 	          0 
med  eCDF diff........   0.051852 	 	          0 
max  eCDF diff........     0.1037 	 	          0 

var ratio (Tr/Co).....     1.2316 	 	          1 
T-test p-value........    0.58599 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       15.1 
std mean diff.........    -2.4179 	 	     5.3842 

mean raw eQQ diff.....        2.6 	 	        2.6 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          7 

mean eCDF diff........   0.068921 	 	       0.08 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....      1.332 	 	     1.4203 
T-test p-value........    0.94701 	 	    0.67708 
KS Bootstrap p-value..      0.739 	 	      0.947 
KS Naive p-value......    0.93225 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.6 
std mean diff.........      179.2 	 	     94.868 

mean raw eQQ diff.....        0.6 	 	        0.3 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.28333 	 	       0.15 
med  eCDF diff........    0.28333 	 	       0.15 
max  eCDF diff........    0.56667 	 	        0.3 

var ratio (Tr/Co).....    0.43333 	 	      0.375 
T-test p-value........ 0.00033381 	 	    0.17259 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3526 	 	    0.41713 
std mean diff.........     30.321 	 	     22.774 

mean raw eQQ diff.....    0.28912 	 	      0.258 
med  raw eQQ diff.....    0.10459 	 	   0.062166 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........      0.122 	 	   0.068421 
med  eCDF diff........    0.11667 	 	        0.1 
max  eCDF diff........    0.26667 	 	        0.2 

var ratio (Tr/Co).....      13.57 	 	     9.7761 
T-test p-value........     0.3676 	 	     0.3661 
KS Bootstrap p-value..      0.493 	 	      0.974 
KS Naive p-value......    0.67713 	 	    0.98826 
KS Statistic..........    0.26667 	 	        0.2 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........    0.53704 	 	       0.55 
std mean diff.........     38.914 	 	     35.258 

mean raw eQQ diff.....      0.175 	 	      0.125 
med  raw eQQ diff.....       0.25 	 	      0.125 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.11037 	 	        0.1 
med  eCDF diff........    0.13333 	 	        0.1 
max  eCDF diff........    0.19259 	 	        0.2 

var ratio (Tr/Co).....    0.77571 	 	    0.83796 
T-test p-value........    0.32462 	 	    0.42929 
KS Bootstrap p-value..      0.607 	 	      0.802 
KS Naive p-value......    0.94949 	 	    0.98826 
KS Statistic..........    0.19259 	 	        0.2 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.6 	 	        0.6 
mean control..........    0.33333 	 	        0.5 
std mean diff.........      51.64 	 	     19.365 

mean raw eQQ diff.....        0.3 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.13333 	 	       0.05 
med  eCDF diff........    0.13333 	 	       0.05 
max  eCDF diff........    0.26667 	 	        0.1 

var ratio (Tr/Co).....     1.1556 	 	       0.96 
T-test p-value........    0.17555 	 	    0.57149 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........        8.9 	 	        8.9 
mean control..........     7.6667 	 	        7.5 
std mean diff.........     14.436 	 	     16.387 

mean raw eQQ diff.....          3 	 	        2.2 
med  raw eQQ diff.....          1 	 	        0.5 
max  raw eQQ diff.....         10 	 	         12 

mean eCDF diff........   0.071528 	 	   0.063636 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.18889 	 	        0.2 

var ratio (Tr/Co).....     1.1059 	 	     1.6651 
T-test p-value........    0.69816 	 	    0.38627 
KS Bootstrap p-value..      0.779 	 	      0.934 
KS Naive p-value......      0.957 	 	    0.98826 
KS Statistic..........    0.18889 	 	        0.2 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.12047 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.35197 
std mean diff.........     89.844 	 	     68.305 

mean raw eQQ diff.....    0.31915 	 	     0.2531 
med  raw eQQ diff.....    0.30952 	 	    0.21842 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.30638 	 	        0.2 
med  eCDF diff........    0.32778 	 	        0.2 
max  eCDF diff........    0.42963 	 	        0.3 

var ratio (Tr/Co).....     1.7162 	 	     1.4518 
T-test p-value........   0.022897 	 	    0.14457 
KS Bootstrap p-value..      0.065 	 	      0.623 
KS Naive p-value......    0.13519 	 	     0.7591 
KS Statistic..........    0.42963 	 	        0.3 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     2.0867 
std mean diff.........     -99.26 	 	    -57.811 

mean raw eQQ diff.....     1.0072 	 	    0.65467 
med  raw eQQ diff.....    0.83552 	 	      0.336 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	    0.10556 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.2523 
T-test p-value........   0.019567 	 	    0.14142 
KS Bootstrap p-value..      0.175 	 	      0.703 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	    0.24241 
std mean diff.........     32.526 	 	      20.73 

mean raw eQQ diff.....    0.12992 	 	    0.10894 
med  raw eQQ diff.....   0.054371 	 	   0.046303 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.080117 	 	   0.072727 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.22593 	 	        0.2 

var ratio (Tr/Co).....     3.2395 	 	     2.4888 
T-test p-value........    0.35058 	 	    0.38859 
KS Bootstrap p-value..      0.593 	 	      0.932 
KS Naive p-value......    0.85035 	 	    0.98826 
KS Statistic..........    0.22593 	 	        0.2 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.37181 
std mean diff.........     33.347 	 	     12.585 

mean raw eQQ diff.....   0.098807 	 	   0.055185 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.15326 	 	        0.1 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.80024 
T-test p-value........    0.37761 	 	    0.81369 
KS Bootstrap p-value..      0.087 	 	      0.642 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.3835 
std mean diff.........    -53.044 	 	     21.695 

mean raw eQQ diff.....    0.65346 	 	    0.52347 
med  raw eQQ diff.....    0.46361 	 	    0.47883 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	        0.2 
med  eCDF diff........    0.16481 	 	        0.1 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.36379 
T-test p-value........    0.28676 	 	    0.70741 
KS Bootstrap p-value..      0.196 	 	      0.118 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.27447 
std mean diff.........     19.565 	 	    -8.7466 

mean raw eQQ diff.....   0.060546 	 	   0.069928 
med  raw eQQ diff.....   0.058442 	 	   0.062958 
max  raw eQQ diff.....    0.11538 	 	    0.13462 

mean eCDF diff........   0.087923 	 	      0.075 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.2 

var ratio (Tr/Co).....      1.041 	 	    0.70657 
T-test p-value........    0.60255 	 	    0.83226 
KS Bootstrap p-value..      0.572 	 	      0.963 
KS Naive p-value......    0.77584 	 	    0.98826 
KS Statistic..........    0.24444 	 	        0.2 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.118 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3520   0.6051   0.2531           0.1775   0.7433  1.4260         
ave.log.duration.prev5          2.0867   1.4520   -0.6347          0.4419   -0.6096 -1.4362        
ave.outcome.prev5               0.2424   0.3277   0.0853           0.0979   0.2476  0.8709         
ForceUS.prop.prev10             0.3718   0.4019   0.0301           0.1242   0.1187  0.2420         
ave.log.duration.prev10         2.3835   2.5009   0.1174           0.3054   0.1585  0.3846         
ave.outcome.prev10              0.2745   0.2565   -0.0179          0.0825   -0.0796 -0.2175        
---Overall Test---
      chisquare df p.value
strat      6.15  6   0.407
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     14 
$p.values
ForceUS     NPC 
  0.515   0.515 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.06277154 75.74636704  0.04853933 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1653932 73.7754221  0.1485498 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  5.147266   1.000259   4.459326 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.1092581  1.5086300  0.9978645 

Closed Testing
Intersection 1 of 7 

*** primary full.covs TRUE ***


Sat Apr 25 15:23:37 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.008881e-01  1.202249e-01  1.273716e-01  1.451067e-01  1.637596e-01  1.640792e-01  1.834409e-01  1.957360e-01  2.315240e-01  2.458598e-01  2.485347e-01  2.809846e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.564567e-01  4.004737e-01  4.004737e-01  4.004737e-01  4.004737e-01  5.635124e-01  6.056136e-01  6.621362e-01  6.621362e-01  7.267422e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  9.273161e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	1.598751e-01  1.640792e-01  1.698838e-01  1.787899e-01  2.025028e-01  2.374636e-01  2.823715e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.294617e-01  3.331983e-01  3.545025e-01  3.862692e-01  4.654915e-01  5.714912e-01  5.714912e-01  5.763358e-01  5.933111e-01  6.770756e-01  7.111625e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.436535e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	1.640792e-01  1.806106e-01  1.811714e-01  2.142492e-01  2.288788e-01  2.303540e-01  2.798532e-01  3.137243e-01  3.174427e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.817252e-01  3.862692e-01  4.004737e-01  4.004737e-01  4.594047e-01  4.648640e-01  5.314727e-01  5.463709e-01  5.714912e-01  5.714912e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.333714e-01  9.182229e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.640792e-01  1.806106e-01  1.811714e-01  2.142492e-01  2.288788e-01  2.303540e-01  2.798532e-01  3.137243e-01  3.174427e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.193156e-01  3.817252e-01  3.862692e-01  4.004737e-01  4.004737e-01  4.594047e-01  4.648640e-01  5.314727e-01  5.463709e-01  5.714912e-01  5.714912e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  7.590978e-01  8.333714e-01  9.182229e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  9.882611e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.909254e+02
 X[ 2] :	7.906227e+02
 X[ 3] :	9.460554e+02
 X[ 4] :	9.469694e+02
 X[ 5] :	9.734528e+02
 X[ 6] :	9.310910e+02
 X[ 7] :	8.410428e+02
 X[ 8] :	2.291231e+01
 X[ 9] :	4.289002e+02
 X[10] :	2.685765e+02
 X[11] :	8.742560e+00
 X[12] :	8.300266e+01
 X[13] :	3.845267e+01
 X[14] :	9.127675e+02
 X[15] :	5.639837e+02
 X[16] :	5.487991e+02
 X[17] :	4.385474e+02
 X[18] :	8.126045e+02
 X[19] :	4.553116e+02
 X[20] :	2.002613e+01
 X[21] :	5.178688e+02
 X[22] :	5.716326e+01
 X[23] :	2.330095e+02
 X[24] :	5.879109e+02

Solution Found Generation 2
Number of Generations Run 13

Sat Apr 25 15:53:20 2015
Total run time : 0 hours 29 minutes and 43 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8  Johnson, L.        22         15       Kennedy         9          3
9       Carter         9          7          Ford         4          4
10     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........    0.59259 	 	        0.4 
std mean diff.........    -37.295 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.096296 	 	          0 
med  eCDF diff........   0.096296 	 	          0 
max  eCDF diff........    0.19259 	 	          0 

var ratio (Tr/Co).....     1.0636 	 	          1 
T-test p-value........    0.32516 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.33333 	 	        0.3 
std mean diff.........    -6.9007 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.016667 	 	          0 
med  eCDF diff........   0.016667 	 	          0 
max  eCDF diff........   0.033333 	 	          0 

var ratio (Tr/Co).....     1.0111 	 	          1 
T-test p-value........    0.85424 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1885.2 	 	     1885.2 
mean control..........       1914 	 	     1892.3 
std mean diff.........    -41.025 	 	    -10.101 

mean raw eQQ diff.....       27.1 	 	        9.7 
med  raw eQQ diff.....         26 	 	          8 
max  raw eQQ diff.....         56 	 	         20 

mean eCDF diff........    0.16346 	 	   0.061111 
med  eCDF diff........    0.14444 	 	        0.1 
max  eCDF diff........    0.42593 	 	        0.2 

var ratio (Tr/Co).....     1.7622 	 	     1.0387 
T-test p-value........    0.25944 	 	    0.27985 
KS Bootstrap p-value..      0.085 	 	       0.97 
KS Naive p-value......    0.10178 	 	    0.98826 
KS Statistic..........    0.42593 	 	        0.2 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........        0.3 	 	        0.3 
mean control..........    0.48148 	 	        0.3 
std mean diff.........     -37.57 	 	          0 

mean raw eQQ diff.....        0.2 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.090741 	 	          0 
med  eCDF diff........   0.090741 	 	          0 
max  eCDF diff........    0.18148 	 	          0 

var ratio (Tr/Co).....        0.9 	 	          1 
T-test p-value........    0.33138 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.8415 	 	     1.8415 
mean control..........      1.954 	 	     2.3737 
std mean diff.........    -8.8585 	 	    -41.903 

mean raw eQQ diff.....    0.16356 	 	     0.7042 
med  raw eQQ diff.....    0.03126 	 	    0.50165 
max  raw eQQ diff.....    0.58779 	 	     2.1972 

mean eCDF diff........   0.074074 	 	    0.15385 
med  eCDF diff........   0.062963 	 	        0.1 
max  eCDF diff........    0.17778 	 	        0.4 

var ratio (Tr/Co).....     1.4349 	 	     3.5828 
T-test p-value........    0.80643 	 	    0.18117 
KS Bootstrap p-value..      0.878 	 	      0.294 
KS Naive p-value......     0.9752 	 	    0.40047 
KS Statistic..........    0.17778 	 	        0.4 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........        6.6 	 	        6.6 
mean control..........     7.8889 	 	        7.9 
std mean diff.........    -20.716 	 	    -20.894 

mean raw eQQ diff.....        1.7 	 	        2.1 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........   0.087407 	 	    0.10769 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.26296 	 	        0.3 

var ratio (Tr/Co).....     1.0745 	 	     0.8734 
T-test p-value........    0.58014 	 	    0.23035 
KS Bootstrap p-value..      0.433 	 	        0.6 
KS Naive p-value......    0.69393 	 	     0.7591 
KS Statistic..........    0.26296 	 	        0.3 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........      5.416 	 	      5.416 
mean control..........     5.1464 	 	     5.3424 
std mean diff.........     11.067 	 	     3.0235 

mean raw eQQ diff.....     1.0609 	 	     1.1693 
med  raw eQQ diff.....    0.61465 	 	    0.56947 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.08165 	 	    0.10909 
med  eCDF diff........   0.075926 	 	        0.1 
max  eCDF diff........    0.21481 	 	        0.3 

var ratio (Tr/Co).....    0.99841 	 	    0.63914 
T-test p-value........    0.76884 	 	    0.91822 
KS Bootstrap p-value..      0.649 	 	      0.545 
KS Naive p-value......    0.88926 	 	     0.7591 
KS Statistic..........    0.21481 	 	        0.3 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.47101 
std mean diff.........     89.844 	 	     36.177 

mean raw eQQ diff.....    0.31915 	 	    0.13405 
med  raw eQQ diff.....    0.30952 	 	   0.082707 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.11818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	    0.87855 
T-test p-value........   0.022897 	 	    0.38173 
KS Bootstrap p-value..      0.059 	 	      0.922 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.9761 
std mean diff.........     -99.26 	 	    -47.745 

mean raw eQQ diff.....     1.0072 	 	    0.60646 
med  raw eQQ diff.....    0.83552 	 	    0.26565 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	        0.1 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.1524 
T-test p-value........   0.019567 	 	    0.18061 
KS Bootstrap p-value..      0.191 	 	      0.663 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.2186 
std mean diff.........     32.526 	 	     26.517 

mean raw eQQ diff.....    0.12992 	 	    0.13275 
med  raw eQQ diff.....   0.054371 	 	   0.046303 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.08 
med  eCDF diff........   0.055556 	 	       0.05 
max  eCDF diff........    0.22593 	 	        0.3 

var ratio (Tr/Co).....     3.2395 	 	     3.3784 
T-test p-value........    0.35058 	 	    0.31372 
KS Bootstrap p-value..      0.599 	 	      0.569 
KS Naive p-value......    0.85035 	 	     0.7591 
KS Statistic..........    0.22593 	 	        0.3 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.50588 
std mean diff.........     33.347 	 	     -43.55 

mean raw eQQ diff.....   0.098807 	 	    0.15107 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	    0.11333 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.41808 
T-test p-value........    0.37761 	 	    0.46486 
KS Bootstrap p-value..      0.073 	 	      0.676 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2968 
std mean diff.........    -53.044 	 	     37.716 

mean raw eQQ diff.....    0.65346 	 	     0.6102 
med  raw eQQ diff.....    0.46361 	 	    0.53751 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.21765 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.31034 
T-test p-value........    0.28676 	 	    0.54637 
KS Bootstrap p-value..      0.214 	 	      0.116 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.32172 
std mean diff.........     19.565 	 	    -31.774 

mean raw eQQ diff.....   0.060546 	 	    0.09718 
med  raw eQQ diff.....   0.058442 	 	   0.084386 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.47336 
T-test p-value........    0.60255 	 	     0.4594 
KS Bootstrap p-value..      0.555 	 	      0.669 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........    0.14815 	 	          0 
std mean diff.........    -15.226 	 	     31.623 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.024074 	 	       0.05 
med  eCDF diff........   0.024074 	 	       0.05 
max  eCDF diff........   0.048148 	 	        0.1 

var ratio (Tr/Co).....    0.76304 	 	        Inf 
T-test p-value........    0.69735 	 	    0.31932 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.8454 	 	    -3.8454 
mean control..........     -2.694 	 	    -3.4314 
std mean diff.........    -49.221 	 	      -17.7 

mean raw eQQ diff.....    0.82964 	 	    0.41404 
med  raw eQQ diff.....          0 	 	   0.043206 
max  raw eQQ diff.....     4.1458 	 	      2.019 

mean eCDF diff........    0.12926 	 	      0.075 
med  eCDF diff........    0.07037 	 	        0.1 
max  eCDF diff........    0.45556 	 	        0.2 

var ratio (Tr/Co).....    0.96125 	 	      1.038 
T-test p-value........    0.20414 	 	    0.53147 
KS Bootstrap p-value..      0.032 	 	      0.854 
KS Naive p-value......   0.096734 	 	    0.98826 
KS Statistic..........    0.45556 	 	        0.2 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     32.236 	 	     32.236 
mean control..........     36.633 	 	     31.586 
std mean diff.........    -22.512 	 	     3.3288 

mean raw eQQ diff.....     6.2606 	 	     3.8217 
med  raw eQQ diff.....      3.276 	 	     3.9493 
max  raw eQQ diff.....     18.417 	 	     7.3333 

mean eCDF diff........   0.076144 	 	    0.10625 
med  eCDF diff........   0.055556 	 	        0.1 
max  eCDF diff........    0.25556 	 	        0.3 

var ratio (Tr/Co).....     1.0418 	 	    0.73643 
T-test p-value........    0.54958 	 	    0.83337 
KS Bootstrap p-value..      0.553 	 	       0.65 
KS Naive p-value......    0.72724 	 	     0.7591 
KS Statistic..........    0.25556 	 	        0.3 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........        0.4 	 	        0.4 
mean control..........     0.2963 	 	        0.5 
std mean diff.........     20.082 	 	    -19.365 

mean raw eQQ diff.....        0.1 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.051852 	 	       0.05 
med  eCDF diff........   0.051852 	 	       0.05 
max  eCDF diff........     0.1037 	 	        0.1 

var ratio (Tr/Co).....     1.2316 	 	       0.96 
T-test p-value........    0.58599 	 	    0.31932 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........       15.9 	 	       15.9 
mean control..........     16.259 	 	       14.5 
std mean diff.........    -2.4179 	 	     9.4224 

mean raw eQQ diff.....        2.6 	 	        3.2 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	          7 

mean eCDF diff........   0.068921 	 	    0.10714 
med  eCDF diff........   0.051852 	 	        0.1 
max  eCDF diff........        0.2 	 	        0.2 

var ratio (Tr/Co).....      1.332 	 	     1.3642 
T-test p-value........    0.94701 	 	    0.38627 
KS Bootstrap p-value..      0.739 	 	      0.942 
KS Naive p-value......    0.93225 	 	    0.98826 
KS Statistic..........        0.2 	 	        0.2 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........        0.9 	 	        0.9 
mean control..........    0.33333 	 	        0.8 
std mean diff.........      179.2 	 	     31.623 

mean raw eQQ diff.....        0.6 	 	        0.1 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.28333 	 	       0.05 
med  eCDF diff........    0.28333 	 	       0.05 
max  eCDF diff........    0.56667 	 	        0.1 

var ratio (Tr/Co).....    0.43333 	 	     0.5625 
T-test p-value........ 0.00033381 	 	    0.57149 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........        0.1 	 	        0.1 
mean control..........   0.037037 	 	          0 
std mean diff.........     19.911 	 	     31.623 

mean raw eQQ diff.....          0 	 	        0.1 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.031481 	 	       0.05 
med  eCDF diff........   0.031481 	 	       0.05 
max  eCDF diff........   0.062963 	 	        0.1 

var ratio (Tr/Co).....        2.7 	 	        Inf 
T-test p-value........    0.56626 	 	    0.31932 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.61189 	 	    0.61189 
mean control..........     0.3526 	 	     0.3504 
std mean diff.........     30.321 	 	     30.577 

mean raw eQQ diff.....    0.28912 	 	    0.31008 
med  raw eQQ diff.....    0.10459 	 	    0.10221 
max  raw eQQ diff.....     2.0547 	 	     2.1983 

mean eCDF diff........      0.122 	 	    0.14118 
med  eCDF diff........    0.11667 	 	        0.1 
max  eCDF diff........    0.26667 	 	        0.4 

var ratio (Tr/Co).....      13.57 	 	     17.467 
T-test p-value........     0.3676 	 	    0.31744 
KS Bootstrap p-value..      0.493 	 	      0.299 
KS Naive p-value......    0.67713 	 	    0.40047 
KS Statistic..........    0.26667 	 	        0.4 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........      0.675 	 	      0.675 
mean control..........    0.53704 	 	      0.425 
std mean diff.........     38.914 	 	     70.515 

mean raw eQQ diff.....      0.175 	 	       0.25 
med  raw eQQ diff.....       0.25 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.11037 	 	        0.2 
med  eCDF diff........    0.13333 	 	        0.3 
max  eCDF diff........    0.19259 	 	        0.3 

var ratio (Tr/Co).....    0.77571 	 	    0.64413 
T-test p-value........    0.32462 	 	    0.21425 
KS Bootstrap p-value..      0.607 	 	      0.479 
KS Naive p-value......    0.94949 	 	     0.7591 
KS Statistic..........    0.19259 	 	        0.3 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........        0.6 	 	        0.6 
mean control..........    0.33333 	 	        0.6 
std mean diff.........      51.64 	 	          0 

mean raw eQQ diff.....        0.3 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.13333 	 	          0 
med  eCDF diff........    0.13333 	 	          0 
max  eCDF diff........    0.26667 	 	          0 

var ratio (Tr/Co).....     1.1556 	 	          1 
T-test p-value........    0.17555 	 	          1 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........        8.9 	 	        8.9 
mean control..........     7.6667 	 	        6.9 
std mean diff.........     14.436 	 	      23.41 

mean raw eQQ diff.....          3 	 	          2 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....         10 	 	         12 

mean eCDF diff........   0.071528 	 	       0.06 
med  eCDF diff........    0.07037 	 	       0.05 
max  eCDF diff........    0.18889 	 	        0.2 

var ratio (Tr/Co).....     1.1059 	 	     1.5174 
T-test p-value........    0.69816 	 	    0.22888 
KS Bootstrap p-value..      0.779 	 	      0.931 
KS Naive p-value......      0.957 	 	    0.98826 
KS Statistic..........    0.18889 	 	        0.2 


Before Matching Minimum p.value: 0.00033381 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.116 
Variable Name(s): ave.log.duration.prev10  Number(s): 12 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.60506 	 	    0.60506 
mean control..........    0.27215 	 	    0.47101 
std mean diff.........     89.844 	 	     36.177 

mean raw eQQ diff.....    0.31915 	 	    0.13405 
med  raw eQQ diff.....    0.30952 	 	   0.082707 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30638 	 	    0.11818 
med  eCDF diff........    0.32778 	 	        0.1 
max  eCDF diff........    0.42963 	 	        0.2 

var ratio (Tr/Co).....     1.7162 	 	    0.87855 
T-test p-value........   0.022897 	 	    0.38173 
KS Bootstrap p-value..      0.065 	 	      0.913 
KS Naive p-value......    0.13519 	 	    0.98826 
KS Statistic..........    0.42963 	 	        0.2 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........      1.452 	 	      1.452 
mean control..........     2.5417 	 	     1.9761 
std mean diff.........     -99.26 	 	    -47.745 

mean raw eQQ diff.....     1.0072 	 	    0.60646 
med  raw eQQ diff.....    0.83552 	 	    0.26565 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21209 	 	        0.1 
med  eCDF diff........    0.21852 	 	        0.1 
max  eCDF diff........    0.36667 	 	        0.3 

var ratio (Tr/Co).....    0.72059 	 	     1.1524 
T-test p-value........   0.019567 	 	    0.18061 
KS Bootstrap p-value..      0.175 	 	       0.68 
KS Naive p-value......    0.28036 	 	     0.7591 
KS Statistic..........    0.36667 	 	        0.3 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.32771 	 	    0.32771 
mean control..........    0.19387 	 	     0.2186 
std mean diff.........     32.526 	 	     26.517 

mean raw eQQ diff.....    0.12992 	 	    0.13275 
med  raw eQQ diff.....   0.054371 	 	   0.046303 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.080117 	 	       0.08 
med  eCDF diff........   0.055556 	 	       0.05 
max  eCDF diff........    0.22593 	 	        0.3 

var ratio (Tr/Co).....     3.2395 	 	     3.3784 
T-test p-value........    0.35058 	 	    0.31372 
KS Bootstrap p-value..      0.593 	 	      0.603 
KS Naive p-value......    0.85035 	 	     0.7591 
KS Statistic..........    0.22593 	 	        0.3 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.40187 	 	    0.40187 
mean control..........    0.32223 	 	    0.50588 
std mean diff.........     33.347 	 	     -43.55 

mean raw eQQ diff.....   0.098807 	 	    0.15107 
med  raw eQQ diff.....   0.091521 	 	   0.050974 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.15326 	 	    0.11333 
med  eCDF diff........    0.12222 	 	        0.1 
max  eCDF diff........    0.41852 	 	        0.3 

var ratio (Tr/Co).....     1.0618 	 	    0.41808 
T-test p-value........    0.37761 	 	    0.46486 
KS Bootstrap p-value..      0.087 	 	      0.641 
KS Naive p-value......     0.1551 	 	     0.7591 
KS Statistic..........    0.41852 	 	        0.3 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.5009 	 	     2.5009 
mean control..........     2.7881 	 	     2.2968 
std mean diff.........    -53.044 	 	     37.716 

mean raw eQQ diff.....    0.65346 	 	     0.6102 
med  raw eQQ diff.....    0.46361 	 	    0.53751 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.16728 	 	    0.21765 
med  eCDF diff........    0.16481 	 	        0.2 
max  eCDF diff........    0.35556 	 	        0.5 

var ratio (Tr/Co).....    0.26561 	 	    0.31034 
T-test p-value........    0.28676 	 	    0.54637 
KS Bootstrap p-value..      0.196 	 	      0.118 
KS Naive p-value......    0.31481 	 	    0.16408 
KS Statistic..........    0.35556 	 	        0.5 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.25652 	 	    0.25652 
mean control..........    0.21637 	 	    0.32172 
std mean diff.........     19.565 	 	    -31.774 

mean raw eQQ diff.....   0.060546 	 	    0.09718 
med  raw eQQ diff.....   0.058442 	 	   0.084386 
max  raw eQQ diff.....    0.11538 	 	    0.21429 

mean eCDF diff........   0.087923 	 	        0.1 
med  eCDF diff........   0.081481 	 	        0.1 
max  eCDF diff........    0.24444 	 	        0.3 

var ratio (Tr/Co).....      1.041 	 	    0.47336 
T-test p-value........    0.60255 	 	     0.4594 
KS Bootstrap p-value..      0.572 	 	       0.67 
KS Naive p-value......    0.77584 	 	     0.7591 
KS Statistic..........    0.24444 	 	        0.3 


Before Matching Minimum p.value: 0.019567 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.118 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4710   0.6051   0.1341           0.1518   0.3499  0.8831         
ave.log.duration.prev5          1.9761   1.4520   -0.5242          0.3974   -0.4941 -1.3191        
ave.outcome.prev5               0.2186   0.3277   0.1091           0.1079   0.3294  1.0111         
ForceUS.prop.prev10             0.5059   0.4019   -0.1040          0.1402   -0.3344 -0.7419        
ave.log.duration.prev10         2.2968   2.5009   0.2042           0.3321   0.2596  0.6148         
ave.outcome.prev10              0.3217   0.2565   -0.0652          0.0868   -0.2547 -0.7508        
---Overall Test---
      chisquare df p.value
strat      6.16  6   0.406
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     20 
$p.values
ForceUS     NPC 
   0.31    0.31 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.02914835 75.34114965  0.03810454 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
-0.006035354 81.161136364 -0.022878788 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  2.302719   1.269716   3.511969 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.6909271  1.6261932  0.7345472 

Closed Testing
Intersection 1 of 7 

*** South Coding: Bush out and Truman in ***

Opening: CreateVars150407.R 

txt> #### RESPONSE VARIABLES
txt> ### (1) U.S. use of force in MID
txt>   summary(mid$ForceUS)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
 0.0000  0.0000  0.0000  0.3387  1.0000  1.0000       6 

txt> ### (2) Duration of MID (days, censored at end of originating president's term)
txt>   summary(mid$DurationUS <- mid$DaysInTrm1)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
    1.0     1.0    18.0   120.3   120.5  1794.0       6 

txt> ### (3) Outcome
txt>   mid$outcome <- ordered(mid$outcome, labels = c("US Loss", "Draw", "US Win"))

txt>   summary(mid$outcome)
US Loss    Draw  US Win    NA's 
     11     301      60       6 

txt>   mid$OutcomeUS <- as.numeric(mid$outcome) - 2

txt>   table(mid$outcome, mid$OutcomeUS)
         
           -1   0   1
  US Loss  11   0   0
  Draw      0 301   0
  US Win    0   0  60

txt> #### STRUCTURAL (PRE-PRESIDENCY) COVARIATES
txt>   mid <- mutate(mid, ongoing.mid = NA,
txt+                 great.power = as.integer(Era == "1897-1945" | Era == "post-1945"),
txt+                 super.power = as.integer(Era == "post-1945"))

txt> ### Ongoing MID
txt>   for (i in 1:nrow(mid)) {
txt+     last.leader <- as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1
txt+     mid$ongoing.mid[i] <- any(mid$spillover[last.leader] == 1, na.rm = TRUE)
txt+   }

txt>   mid$ongoing.mid <- as.integer(mid$ongoing.mid)

txt> ### Number of Americans killed in the last war before the president's
txt> ### (adjusted) term began:
txt>   mid$prev.war.dead <- round(exp(mid$lnprevdead), 0)

txt>   mid$prev.war.dead[mid$Leader == "HarrisonWH"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Polk"] <- 2260

txt>   mid$prev.war.dead[mid$Leader == "Taylor"] <- 13283

txt>   mid$prev.war.dead[mid$Leader == "Lincoln"] <- 13283

txt>   mid$prev.war.dead[as.numeric(mid$Leader) >= 17 & as.numeric(mid$Leader) <= 24] <-
txt+     620000  ## Includes Confederate dead in Civil War

txt>   mid$prev.war.dead[mid$Leader == "JohnsonLB"] <- 36574

txt>   mid$prev.war.dead[mid$Leader == "Clinton" | mid$Leader=="BushGW"] <- 382

txt>   mid$prev.war.dead[mid$Leader == "Obama"] <- 4222

txt>   mid$log.prev.war.dead <- log(mid$prev.war.dead)

txt> ### Years since last war
txt>   mid$yrs.since.war <- rep(NA, nrow(mid))

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 4, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 5 &
txt+                                   as.numeric(mid$Leader) <= 11,
txt+                               mid$TermStartYear - 1815, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="HarrisonWH"] <- 1841 - 1815

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 12 &
txt+                                   as.numeric(mid$Leader) <= 16,
txt+                               mid$TermStartYear - 1848, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Taylor"] <- 1849 - 1848

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 17 &
txt+                                   as.numeric(mid$Leader) <= 24,
txt+                               mid$TermStartYear - 1865, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader=="Garfield"] <- 1881 - 1865

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 25 &
txt+                                   as.numeric(mid$Leader) <= 27,
txt+                               mid$TermStartYear - 1898, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 28 &
txt+                                   as.numeric(mid$Leader) <= 31,
txt+                               mid$TermStartYear - 1918, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) == 32,
txt+                               mid$TermStartYear - 1945, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 33 &
txt+                                   as.numeric(mid$Leader) <= 35,
txt+                               mid$TermStartYear - 1953, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 36 &
txt+                                   as.numeric(mid$Leader) <= 40,
txt+                               mid$TermStartYear - 1973, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(mid$yrs.since.war < 0, 0, mid$yrs.since.war)

txt>   mid$yrs.since.war <- ifelse(as.numeric(mid$Leader) >= 41 &
txt+                                   as.numeric(mid$Leader) <= 42,
txt+                               mid$TermStartYear - 1991, mid$yrs.since.war)

txt>   mid$yrs.since.war[mid$Leader %in% "Obama"] <- 0

txt>   mid$log.yrs.since.war <- log(mid$yrs.since.war + 1)

txt> ### Interaction of Log Years Since War and Log Deaths
txt>   mid$log.dead.x.log.years <- mid$log.prev.war.dead * mid$log.yrs.since.war

txt> ### Americans killed in last war, as percentage of U.S. population
txt>   ## U.S. population figures obtained from:
txt>   ## http://www.census.gov/population/www/cen2000/maps/respop.html
txt>   us.pop <- data.frame(matrix(, ncol = 2, byrow = TRUE, data =
txt+                                   c(2000, 281421906,
txt+                                     1990, 248709873,
txt+                                     1980, 226542199,
txt+                                     1970, 203302031,
txt+                                     1960, 179323175,
txt+                                     1950, 151325798,
txt+                                     1940, 132164569,
txt+                                     1930, 123202624,
txt+                                     1920, 106021537,
txt+                                     1910, 92228496,
txt+                                     1900, 76212168,
txt+                                     1890, 62979766,
txt+                                     1880, 50189209,
txt+                                     1870, 38558371,
txt+                                     1860, 31443321,
txt+                                     1850, 23191876,
txt+                                     1840, 17063353,
txt+                                     1830, 12860702,
txt+                                     1820, 9638453,
txt+                                     1810, 7239881,
txt+                                     1800, 5308483,
txt+                                     1790, 3929214)))

txt>   mid$prev.war.dead.pct <- rep(NA, nrow(mid))

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2260,
txt+                                   (2260 / 7239881) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 13283,
txt+                                   (13283 / 23191876) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 620000,
txt+                                   (620000 / 31443321) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 2446,
txt+                                   (2446 / 76212168) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 116516,
txt+                                   (116516 / 106021537) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 405399,
txt+                                   (405399 / 132164569) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 36574,
txt+                                   (36574 / 151325798) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 58209,
txt+                                   (58209 / 203302031) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 382,
txt+                                   (382 / 248709873) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   mid$prev.war.dead.pct <- ifelse(mid$prev.war.dead == 4222,
txt+                                   (4222 / 281421906) * 100,
txt+                                   mid$prev.war.dead.pct)

txt>   ##
txt> ### Log Previous War Dead Percent (to deal with skew)
txt>   mid$log.war.dead.pct <- log(mid$prev.war.dead.pct)

txt>   ##
txt> ### Interaction of Log Previous War Dead Percent and Log Years Since
txt> ### War
txt>   mid$log.prv.dead.pct.x.log.yrs <- mid$log.war.dead.pct * mid$log.yrs.since.war

txt> ### Ongoing War
txt>   mid$ongoing.war <- as.integer(mid$yrs.since.war == 0 & mid$Pres1 != "JohnsonA")

txt>   ## Note: Lee's surrender at Appomatox occurred about a
txt>   ## week before Andrew Johnson ascended to the presidency, so he is
txt>   ## coded as having come into office without a war ongoing.
txt>   ## Also: Even though the War of 1812 began in his presidency, Madison
txt>   ## is coded as mid$ongoing.war = 1 because war was ongoing at the point
txt>   ## when the MID data begin (1816).
txt>   ##
txt> ### Elite Veteran (imputed)
txt>   ## Impute an elite veteran percentage of 40 (should be approximately
txt>   ## right) for Clinton and BushGW, for whom the data are missing.
txt>   mid$elitevet.imput <- ifelse(mid$Leader %in% c("Clinton", "BushGW", "Obama"),
txt+                                40, mid$elitevet)

txt> ### Lagged value of treatment (South1)
txt>   mid$South1.prev <- NA

txt>   for (i in 1:nrow(mid)){
txt+     mid$South1.prev[i] <-
txt+       mid$South1[as.numeric(mid$Leader) == as.numeric(mid$Leader[i]) - 1][1]
txt+   }

txt> ### Number of non-fishing MIDs in previous ten (five) years
txt>   mid$nMIDs.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*10)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   mid$nMIDs.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$nMIDs.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start - 365.25*5)
txt+           & mid$EndDateUS < term.start & mid$nonfishing, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of MIDs in
txt>   ## the ten years AFTER the end of Monroe's term, which is 2.
txt>   mid$nMIDs.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*10)
txt+         & mid$nonfishing, na.rm = TRUE)

txt>   ## Same for 5 years
txt>   mid$nMIDs.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365*5)
txt+         & mid$nonfishing, na.rm = TRUE)

txt> ### Uses of Force in previous 5 and 10 years
txt>   mid$ForceUS.prev5 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     (term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1])
txt+     mid$ForceUS.prev5[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*5) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   mid$ForceUS.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     mid$ForceUS.prev10[i] <-
txt+       sum(mid$StartDateUS > (term.start-365.25*10) & mid$EndDateUS < term.start
txt+           & mid$nonfishing & mid$ForceUS == 1, na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe to the number of uses of
txt>   ## Force in the ten years AFTER the end of Monroe's term, which is
txt>   ## 1. This actually only changes Madison's value, which was 0
txt>   ## (Monroe's was already 1).
txt>   mid$ForceUS.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10*365)
txt+         & (mid$nonfishing & mid$ForceUS == 1), na.rm=TRUE)

txt>   mid$ForceUS.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     sum(mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+         & mid$StartDateUS < (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5)
txt+         & mid$nonfishing & mid$ForceUS == 1, na.rm=TRUE)

txt> ### Uses of force per MID in last ten years
txt>   mid$ForceUS.prop.prev5 <- mid$ForceUS.prev5 / mid$nMIDs.prev5

txt>   mid$ForceUS.prop.prev10 <- mid$ForceUS.prev10 / mid$nMIDs.prev10

txt> ### Log Duration
txt>   mid$ave.log.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.log.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.log.duration.prev5[i] <-
txt+       mean(log(mid$DurationUS[pre5 & mid$nonfishing]), na.rm = TRUE)
txt+     mid$ave.log.duration.prev10[i] <-
txt+       mean(log(mid$DurationUS[pre10 & mid$nonfishing]), na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*5))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 365.25*10))

txt>   mid$ave.log.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.log.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(log(mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Duration
txt>   mid$ave.duration.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.duration.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.duration.prev5[i] <-
txt+       mean(mid$DurationUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.duration.prev10[i] <-
txt+       mean(mid$DurationUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1] &
txt+                   mid$nonfishing & mid$StartDateUS <
txt+                       (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.duration.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post5mm]), na.rm = TRUE)

txt>   mid$ave.duration.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean((mid$DurationUS[post10mm]), na.rm = TRUE)

txt> ### Outcome
txt>   mid$ave.outcome.prev5 <- rep(NA, nrow(mid))

txt>   mid$ave.outcome.prev10 <- rep(NA, nrow(mid))

txt>   for (i in 1:nrow(mid)){
txt+     term.start <- mid$TermStartDate1[mid$Leader == mid$Leader[i]][1]
txt+     pre5 <- (mid$StartDateUS > (term.start - 5 * 365.25) &
txt+                  mid$EndDateUS < term.start)
txt+     pre10 <- (mid$StartDateUS > (term.start - 10 * 365.25) &
txt+                   mid$EndDateUS < term.start)
txt+     mid$ave.outcome.prev5[i] <-
txt+       mean(mid$OutcomeUS[pre5 & mid$nonfishing], na.rm = TRUE)
txt+     mid$ave.outcome.prev10[i] <-
txt+       mean(mid$OutcomeUS[pre10 & mid$nonfishing], na.rm = TRUE)
txt+   }

txt>   ## Replace the values for Madison and Monroe
txt>   post5mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+               & mid$nonfishing & mid$StartDateUS <
txt+                   (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 5 * 365.25))

txt>   post10mm <- (mid$StartDateUS > mid$TermEndDate1[mid$Leader=="Monroe"][1]
txt+                & mid$nonfishing & mid$StartDateUS <
txt+                    (mid$TermEndDate1[mid$Leader=="Monroe"][1] + 10 * 365.25))

txt>   mid$ave.outcome.prev5[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post5mm], na.rm = TRUE)

txt>   mid$ave.outcome.prev10[mid$Leader=="Madison" | mid$Leader=="Monroe"] <-
txt+     mean(mid$OutcomeUS[post10mm], na.rm = TRUE)

txt> ### Party and military variables
txt>   mid <- mutate(mid,
txt+                 Dem = as.integer(Party1Factor == "Democratic"), 
txt+                 DemRep = as.integer(Party1Factor == "Democratic-Republican"),
txt+                 Repub = as.integer(Party1Factor == "Republican"),
txt+                 Whig = as.integer(Party1Factor == "Whig"),
txt+                 DemDR = Dem + DemRep,
txt+                 military.occupation = as.integer(MiltOcc == "yes"),
txt+                 military.experience = as.integer(MiltExp == "no"))

File name: NofishMIDs1-150425-a.pdf 


File name: NofishMIDs2-150425-a.pdf 

Source: local data frame [37 x 6]

       LeaderName    Region MIDs      Force  Duration     Outcome
1    Adams, J. Q. Non-South    1 1.00000000   1.00000  1.00000000
2          Arthur Non-South    2 0.00000000  27.00000  0.00000000
3        Buchanan Non-South    6 0.16666667  58.16667  0.00000000
4  Bush, G. H. W. Non-South    9 0.66666667  85.44444  0.11111111
5     Bush, G. W. Non-South   24 0.62500000  95.08333  0.08333333
6          Carter     South   12 0.16666667  56.58333 -0.08333333
7       Cleveland Non-South    9 0.22222222  28.22222  0.00000000
8         Clinton     South   26 0.34615385  93.38462  0.07692308
9        Coolidge Non-South    1 1.00000000 145.00000  1.00000000
10     Eisenhower Non-South   31 0.09677419 103.16129  0.00000000
..            ...       ...  ...        ...       ...         ...

File name: PresSummaryPrimary150425-a.pdf 


File name: PresSummaryBilateral150425-a.pdf 

Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, bilateral)

REML criterion at convergence: 259

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9322 -1.2076  0.4129  0.6803  1.1990 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.02748  0.1658  
 Residual             0.17267  0.4155  
Number of obs: 215, groups:  Leader, 35

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.77382    0.05277  14.664
South1      -0.18815    0.09260  -2.032

Correlation of Fixed Effects:
       (Intr)
South1 -0.570
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, primary)

REML criterion at convergence: 364.1

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8763 -1.3236  0.4524  0.7692  1.1156 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.01791  0.1338  
 Residual             0.18441  0.4294  
Number of obs: 296, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.77357    0.04436  17.440
South1      -0.19394    0.07945  -2.441

Correlation of Fixed Effects:
       (Intr)
South1 -0.558
Linear mixed model fit by REML ['lmerMod']
Formula: nonwhite ~ South1 + (1 | Leader)
   Data: subset(mid, nonfishing)

REML criterion at convergence: 421.7

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9128 -1.2400  0.4390  0.7038  1.1164 

Random effects:
 Groups   Name        Variance Std.Dev.
 Leader   (Intercept) 0.01492  0.1222  
 Residual             0.18079  0.4252  
Number of obs: 352, groups:  Leader, 37

Fixed effects:
            Estimate Std. Error t value
(Intercept)  0.79354    0.04050  19.592
South1      -0.21649    0.07284  -2.972

Correlation of Fixed Effects:
       (Intr)
South1 -0.556

*** bilateral none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 0.1271509 43.4810924  0.1536615 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.112             0.083             0.046             0.112             0.083             0.046             0.046 

*** bilateral none FALSE harmonic ***

*** bilateral none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 13.668717   2.142947  16.260504 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.112             0.082             0.047             0.112             0.082             0.052             0.044 

*** bilateral none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
  1.524960   1.484711   2.052940 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.073             0.079             0.036             0.073             0.079             0.036             0.026 

*** bilateral none TRUE mean ***

*** bilateral none TRUE harmonic ***

*** bilateral none TRUE rank ***

*** bilateral none TRUE hlm ***

*** bilateral log.placebo FALSE ***


Sat Apr 25 19:29:11 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.366210e-02  3.893018e-02  4.536175e-02  5.944067e-02  7.580170e-02  1.087731e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.748044e-01  8.079242e-01  8.079242e-01  

      2 	4.476826e-02  5.656473e-02  6.700342e-02  7.580170e-02  2.395290e-01  2.899813e-01  3.601254e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.079242e-01  8.079242e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.476826e-02  5.656473e-02  6.700342e-02  7.580170e-02  2.395290e-01  2.899813e-01  3.601254e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.079242e-01  8.079242e-01  

Parameters at the Solution:

 X[ 1] :	3.508578e+02
 X[ 2] :	4.137129e+01
 X[ 3] :	2.510039e+02
 X[ 4] :	6.652535e+02
 X[ 5] :	1.225420e+01
 X[ 6] :	1.951858e+00

Solution Found Generation 2
Number of Generations Run 13

Sat Apr 25 19:44:42 2015
Total run time : 0 hours 15 minutes and 31 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6          Obama         4          3
3      Jackson         4          4        Harding         1          1
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1           Ford         4          4
6  Johnson, A.         5          5      Van Buren         4          4
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4    Bush, G. W.        24         20
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7  Roosevelt, F.        10          8
11     Clinton        24         10       McKinley         3          1

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.41214 
std mean diff.........     99.051 	 	     46.606 

mean raw eQQ diff.....    0.35288 	 	    0.18727 
med  raw eQQ diff.....    0.33333 	 	    0.10476 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15385 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5381 
T-test p-value........  0.0095173 	 	   0.044768 
KS Bootstrap p-value..      0.015 	 	       0.36 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.6644 
std mean diff.........    -108.63 	 	    -111.56 

mean raw eQQ diff.....    0.99897 	 	     1.1717 
med  raw eQQ diff.....       0.67 	 	     1.0603 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	    0.27273 
med  eCDF diff........     0.2197 	 	    0.27273 
max  eCDF diff........    0.44318 	 	    0.54545 

var ratio (Tr/Co).....    0.61473 	 	    0.81957 
T-test p-value........   0.011625 	 	   0.056565 
KS Bootstrap p-value..      0.074 	 	      0.062 
KS Naive p-value......    0.10331 	 	   0.075802 
KS Statistic..........    0.44318 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.13166 
std mean diff.........     38.264 	 	     46.116 

mean raw eQQ diff.....    0.15372 	 	     0.1814 
med  raw eQQ diff.....   0.076923 	 	    0.11039 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.20455 
med  eCDF diff........    0.12879 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     3.4983 	 	     2.9668 
T-test p-value........    0.25457 	 	   0.067003 
KS Bootstrap p-value..      0.522 	 	       0.32 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.35668 
std mean diff.........     44.666 	 	     15.711 

mean raw eQQ diff.....    0.13335 	 	    0.07191 
med  raw eQQ diff.....      0.125 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	   0.086124 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.8381 
T-test p-value........    0.21825 	 	    0.36013 
KS Bootstrap p-value..      0.027 	 	       0.72 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.8795 
std mean diff.........    -79.734 	 	    -75.929 

mean raw eQQ diff.....    0.69677 	 	    0.42579 
med  raw eQQ diff.....    0.50644 	 	   0.080043 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.10823 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.27273 

var ratio (Tr/Co).....    0.23917 	 	    0.36992 
T-test p-value........     0.1311 	 	    0.28998 
KS Bootstrap p-value..       0.24 	 	      0.734 
KS Naive p-value......    0.37173 	 	    0.80792 
KS Statistic..........    0.33333 	 	    0.27273 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.15559 
std mean diff.........     28.261 	 	     43.282 

mean raw eQQ diff.....   0.068213 	 	   0.086697 
med  raw eQQ diff.....   0.071429 	 	   0.081448 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.11093 	 	    0.17614 
med  eCDF diff........    0.10985 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4385 	 	     1.4762 
T-test p-value........    0.42588 	 	    0.23953 
KS Bootstrap p-value..       0.62 	 	      0.414 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.044768 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.41214 
std mean diff.........     99.051 	 	     46.606 

mean raw eQQ diff.....    0.35288 	 	    0.18727 
med  raw eQQ diff.....    0.33333 	 	    0.10476 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15385 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5381 
T-test p-value........  0.0095173 	 	   0.044768 
KS Bootstrap p-value..      0.021 	 	       0.37 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.6644 
std mean diff.........    -108.63 	 	    -111.56 

mean raw eQQ diff.....    0.99897 	 	     1.1717 
med  raw eQQ diff.....       0.67 	 	     1.0603 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	    0.27273 
med  eCDF diff........     0.2197 	 	    0.27273 
max  eCDF diff........    0.44318 	 	    0.54545 

var ratio (Tr/Co).....    0.61473 	 	    0.81957 
T-test p-value........   0.011625 	 	   0.056565 
KS Bootstrap p-value..      0.062 	 	      0.058 
KS Naive p-value......    0.10331 	 	   0.075802 
KS Statistic..........    0.44318 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.13166 
std mean diff.........     38.264 	 	     46.116 

mean raw eQQ diff.....    0.15372 	 	     0.1814 
med  raw eQQ diff.....   0.076923 	 	    0.11039 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.20455 
med  eCDF diff........    0.12879 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     3.4983 	 	     2.9668 
T-test p-value........    0.25457 	 	   0.067003 
KS Bootstrap p-value..      0.541 	 	      0.339 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.35668 
std mean diff.........     44.666 	 	     15.711 

mean raw eQQ diff.....    0.13335 	 	    0.07191 
med  raw eQQ diff.....      0.125 	 	       0.05 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	   0.086124 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.8381 
T-test p-value........    0.21825 	 	    0.36013 
KS Bootstrap p-value..      0.032 	 	      0.735 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.8795 
std mean diff.........    -79.734 	 	    -75.929 

mean raw eQQ diff.....    0.69677 	 	    0.42579 
med  raw eQQ diff.....    0.50644 	 	   0.080043 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.10823 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.27273 

var ratio (Tr/Co).....    0.23917 	 	    0.36992 
T-test p-value........     0.1311 	 	    0.28998 
KS Bootstrap p-value..      0.248 	 	      0.732 
KS Naive p-value......    0.37173 	 	    0.80792 
KS Statistic..........    0.33333 	 	    0.27273 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.15559 
std mean diff.........     28.261 	 	     43.282 

mean raw eQQ diff.....   0.068213 	 	   0.086697 
med  raw eQQ diff.....   0.071429 	 	   0.081448 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.11093 	 	    0.17614 
med  eCDF diff........    0.10985 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.36364 

var ratio (Tr/Co).....     1.4385 	 	     1.4762 
T-test p-value........    0.42588 	 	    0.23953 
KS Bootstrap p-value..      0.626 	 	      0.378 
KS Naive p-value......    0.81545 	 	    0.46107 
KS Statistic..........    0.23106 	 	    0.36364 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.044768 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4121   0.5804   0.1682           0.0892   0.5582  1.8862  .      
ave.log.duration.prev5          2.6644   1.4927   -1.1717          0.6483   -1.0588 -1.8072 .      
ave.outcome.prev5               0.1317   0.3131   0.1814           0.1039   0.5640  1.7465  .      
ForceUS.prop.prev10             0.3567   0.3926   0.0359           0.0390   0.1788  0.9213         
ave.log.duration.prev10         2.8795   2.4882   -0.3913          0.3695   -0.5580 -1.0589        
ave.outcome.prev10              0.1556   0.2423   0.0867           0.0741   0.4726  1.1702         
---Overall Test---
      chisquare df p.value
strat      5.76  6   0.451
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      1 
$p.values
ForceUS     NPC 
      1       1 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.02348551 26.17405619  0.14574188 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.09450272 34.54169719  0.16652514 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.585272   1.421138   9.778314 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.5502160  0.8348958  1.4584409 

Closed Testing
Intersection 1 of 7 

*** bilateral log.placebo TRUE ***


Sat Apr 25 21:37:13 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	5.768289e-02  6.518785e-02  7.580170e-02  7.580170e-02  8.753092e-02  9.234467e-02  2.058362e-01  3.099146e-01  4.610718e-01  4.610718e-01  4.610718e-01  8.422705e-01  

      1 	6.372688e-02  6.754081e-02  8.901197e-02  1.234134e-01  2.058362e-01  2.058362e-01  2.058362e-01  3.951457e-01  4.610718e-01  4.610718e-01  4.610718e-01  6.361434e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.372688e-02  6.754081e-02  8.901197e-02  1.234134e-01  2.058362e-01  2.058362e-01  2.058362e-01  3.951457e-01  4.610718e-01  4.610718e-01  4.610718e-01  6.361434e-01  

Parameters at the Solution:

 X[ 1] :	9.209858e+02
 X[ 2] :	7.458911e+02
 X[ 3] :	1.745048e+02
 X[ 4] :	2.066645e+01
 X[ 5] :	3.525113e+01
 X[ 6] :	3.275540e+01

Solution Found Generation 1
Number of Generations Run 12

Sat Apr 25 21:59:44 2015
Total run time : 0 hours 22 minutes and 31 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Obama         4          3
2       Monroe         6          6          Obama         4          3
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2    Bush, G. W.        24         20
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5       Coolidge         1          1
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4          Nixon        12          9
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7  Roosevelt, F.        10          8
11     Clinton        24         10          Obama         4          3

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.46548 
std mean diff.........     99.051 	 	     31.827 

mean raw eQQ diff.....    0.35288 	 	    0.14302 
med  raw eQQ diff.....    0.33333 	 	    0.10476 
max  raw eQQ diff.....    0.73684 	 	    0.28571 

mean eCDF diff........    0.35383 	 	    0.10744 
med  eCDF diff........    0.36742 	 	   0.090909 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.7049 
T-test p-value........  0.0095173 	 	   0.067541 
KS Bootstrap p-value..      0.015 	 	      0.321 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0499 
std mean diff.........    -108.63 	 	    -53.048 

mean raw eQQ diff.....    0.99897 	 	    0.66894 
med  raw eQQ diff.....       0.67 	 	     0.3905 
max  raw eQQ diff.....     2.3128 	 	     1.7877 

mean eCDF diff........    0.23153 	 	    0.17614 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.45455 

var ratio (Tr/Co).....    0.61473 	 	     6.7564 
T-test p-value........   0.011625 	 	   0.063727 
KS Bootstrap p-value..      0.074 	 	      0.146 
KS Naive p-value......    0.10331 	 	    0.20584 
KS Statistic..........    0.44318 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.08985 
std mean diff.........     38.264 	 	     56.745 

mean raw eQQ diff.....    0.15372 	 	    0.22322 
med  raw eQQ diff.....   0.076923 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	       0.85 

mean eCDF diff........    0.10885 	 	    0.23967 
med  eCDF diff........    0.12879 	 	    0.27273 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     3.4983 	 	     7.4796 
T-test p-value........    0.25457 	 	   0.089012 
KS Bootstrap p-value..      0.522 	 	       0.13 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.42054 
std mean diff.........     44.666 	 	    -12.216 

mean raw eQQ diff.....    0.13335 	 	   0.098985 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	      0.125 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.8703 
T-test p-value........    0.21825 	 	    0.63614 
KS Bootstrap p-value..      0.027 	 	      0.353 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6546 
std mean diff.........    -79.734 	 	    -32.281 

mean raw eQQ diff.....    0.69677 	 	    0.29507 
med  raw eQQ diff.....    0.50644 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.15085 	 	    0.10695 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.57095 
T-test p-value........     0.1311 	 	    0.39515 
KS Bootstrap p-value..       0.24 	 	      0.367 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.12221 
std mean diff.........     28.261 	 	      59.95 

mean raw eQQ diff.....   0.068213 	 	    0.12008 
med  raw eQQ diff.....   0.071429 	 	        0.1 
max  raw eQQ diff.....    0.16667 	 	    0.28947 

mean eCDF diff........    0.11093 	 	    0.25325 
med  eCDF diff........    0.10985 	 	    0.27273 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     1.4385 	 	     1.7483 
T-test p-value........    0.42588 	 	    0.12341 
KS Bootstrap p-value..       0.62 	 	      0.179 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.063727 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.46548 
std mean diff.........     99.051 	 	     31.827 

mean raw eQQ diff.....    0.35288 	 	    0.14302 
med  raw eQQ diff.....    0.33333 	 	    0.10476 
max  raw eQQ diff.....    0.73684 	 	    0.28571 

mean eCDF diff........    0.35383 	 	    0.10744 
med  eCDF diff........    0.36742 	 	   0.090909 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.7049 
T-test p-value........  0.0095173 	 	   0.067541 
KS Bootstrap p-value..      0.021 	 	      0.332 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0499 
std mean diff.........    -108.63 	 	    -53.048 

mean raw eQQ diff.....    0.99897 	 	    0.66894 
med  raw eQQ diff.....       0.67 	 	     0.3905 
max  raw eQQ diff.....     2.3128 	 	     1.7877 

mean eCDF diff........    0.23153 	 	    0.17614 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.45455 

var ratio (Tr/Co).....    0.61473 	 	     6.7564 
T-test p-value........   0.011625 	 	   0.063727 
KS Bootstrap p-value..      0.062 	 	      0.163 
KS Naive p-value......    0.10331 	 	    0.20584 
KS Statistic..........    0.44318 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.08985 
std mean diff.........     38.264 	 	     56.745 

mean raw eQQ diff.....    0.15372 	 	    0.22322 
med  raw eQQ diff.....   0.076923 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	       0.85 

mean eCDF diff........    0.10885 	 	    0.23967 
med  eCDF diff........    0.12879 	 	    0.27273 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     3.4983 	 	     7.4796 
T-test p-value........    0.25457 	 	   0.089012 
KS Bootstrap p-value..      0.541 	 	      0.139 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.42054 
std mean diff.........     44.666 	 	    -12.216 

mean raw eQQ diff.....    0.13335 	 	   0.098985 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	      0.125 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.8703 
T-test p-value........    0.21825 	 	    0.63614 
KS Bootstrap p-value..      0.032 	 	      0.366 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6546 
std mean diff.........    -79.734 	 	    -32.281 

mean raw eQQ diff.....    0.69677 	 	    0.29507 
med  raw eQQ diff.....    0.50644 	 	   0.077228 
max  raw eQQ diff.....     1.8581 	 	     1.3996 

mean eCDF diff........    0.15085 	 	    0.10695 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.57095 
T-test p-value........     0.1311 	 	    0.39515 
KS Bootstrap p-value..      0.248 	 	      0.351 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.12221 
std mean diff.........     28.261 	 	      59.95 

mean raw eQQ diff.....   0.068213 	 	    0.12008 
med  raw eQQ diff.....   0.071429 	 	        0.1 
max  raw eQQ diff.....    0.16667 	 	    0.28947 

mean eCDF diff........    0.11093 	 	    0.25325 
med  eCDF diff........    0.10985 	 	    0.27273 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     1.4385 	 	     1.7483 
T-test p-value........    0.42588 	 	    0.12341 
KS Bootstrap p-value..      0.626 	 	      0.175 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.063727 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4655   0.5804   0.1149           0.0659   0.3846  1.7436  .      
ave.log.duration.prev5          2.0499   1.4927   -0.5571          0.3157   -0.7002 -1.7648 .      
ave.outcome.prev5               0.0898   0.3131   0.2232           0.1363   0.7537  1.6378         
ForceUS.prop.prev10             0.4205   0.3926   -0.0279          0.0579   -0.1395 -0.4827        
ave.log.duration.prev10         2.6546   2.4882   -0.1663          0.1938   -0.2752 -0.8582        
ave.outcome.prev10              0.1222   0.2423   0.1201           0.0800   0.6762  1.5004         
---Overall Test---
      chisquare df p.value
strat      7.43  6   0.283
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      0 
$p.values
ForceUS     NPC 
      1       1 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.01470588 14.38235294  0.17647059 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.02794428 28.55468420  0.19412254 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 -1.000000   1.506828  11.882353 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.02053024  0.57687541  1.51854712 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs FALSE ***


Sat Apr 25 23:49:13 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.017474e-01  3.189527e-01  3.189527e-01  3.702159e-01  4.610718e-01  4.791504e-01  6.820507e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.189527e-01  3.189527e-01  3.885244e-01  4.223931e-01  4.791504e-01  6.291228e-01  7.310147e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.189527e-01  3.189527e-01  3.885244e-01  4.223931e-01  4.791504e-01  6.291228e-01  7.310147e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	3.797011e+02
 X[ 2] :	1.111927e+02
 X[ 3] :	6.262188e+01
 X[ 4] :	4.881014e+02
 X[ 5] :	7.513400e+02
 X[ 6] :	9.422107e+00
 X[ 7] :	1.407448e+01

Solution Found Generation 1
Number of Generations Run 12

Sun Apr 26 00:02:53 2015
Total run time : 0 hours 13 minutes and 40 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4       Lincoln         4          3
4        Tyler         2          2     Cleveland         9          6
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10       Harding         1          1

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.45455 
std mean diff.........    -24.661 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.064394 	 	          0 
med  eCDF diff........   0.064394 	 	          0 
max  eCDF diff........    0.12879 	 	          0 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1899.7 
std mean diff.........    -36.476 	 	     -13.16 

mean raw eQQ diff.....     23.091 	 	     19.455 
med  raw eQQ diff.....         28 	 	         20 
max  raw eQQ diff.....         44 	 	         33 

mean eCDF diff........    0.14069 	 	    0.13636 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.9149 
T-test p-value........     0.2987 	 	    0.38852 
KS Bootstrap p-value..      0.089 	 	      0.426 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.8516 
std mean diff.........    -24.175 	 	    -13.383 

mean raw eQQ diff.....    0.28279 	 	    0.32655 
med  raw eQQ diff.....   0.068993 	 	    0.25131 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.081349 	 	   0.078788 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.18182 

var ratio (Tr/Co).....     1.6262 	 	      1.713 
T-test p-value........     0.4891 	 	    0.42239 
KS Bootstrap p-value..      0.546 	 	      0.965 
KS Naive p-value......     0.7504 	 	    0.99336 
KS Statistic..........    0.24621 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	          7 
std mean diff.........    -30.276 	 	    -7.6972 

mean raw eQQ diff.....     2.1818 	 	    0.81818 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........     0.1096 	 	   0.068182 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....    0.90188 	 	     1.1471 
T-test p-value........    0.42299 	 	    0.62912 
KS Bootstrap p-value..      0.575 	 	      0.957 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.3276 
std mean diff.........     20.622 	 	     12.537 

mean raw eQQ diff.....     1.3301 	 	     1.2763 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.11364 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	    0.27273 

var ratio (Tr/Co).....    0.92773 	 	    0.57039 
T-test p-value........    0.58194 	 	    0.73101 
KS Bootstrap p-value..      0.673 	 	      0.697 
KS Naive p-value......    0.91051 	 	    0.80792 
KS Statistic..........    0.20455 	 	    0.27273 


Before Matching Minimum p.value: 0.089 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.31895 
Variable Name(s): super.power  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	     0.2288 
std mean diff.........     99.051 	 	     97.399 

mean raw eQQ diff.....    0.35288 	 	    0.35156 
med  raw eQQ diff.....    0.33333 	 	    0.33333 
max  raw eQQ diff.....    0.73684 	 	    0.66667 

mean eCDF diff........    0.35383 	 	    0.33333 
med  eCDF diff........    0.36742 	 	    0.36364 
max  eCDF diff........    0.52652 	 	    0.54545 

var ratio (Tr/Co).....     2.2487 	 	     1.6278 
T-test p-value........  0.0095173 	 	   0.019103 
KS Bootstrap p-value..      0.021 	 	      0.053 
KS Naive p-value......   0.030535 	 	   0.075802 
KS Statistic..........    0.52652 	 	    0.54545 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     3.2154 
std mean diff.........    -108.63 	 	    -164.02 

mean raw eQQ diff.....    0.99897 	 	     1.7226 
med  raw eQQ diff.....       0.67 	 	     1.6472 
max  raw eQQ diff.....     2.3128 	 	     2.7795 

mean eCDF diff........    0.23153 	 	    0.25455 
med  eCDF diff........     0.2197 	 	    0.22727 
max  eCDF diff........    0.44318 	 	    0.54545 

var ratio (Tr/Co).....    0.61473 	 	    0.41322 
T-test p-value........   0.011625 	 	   0.019223 
KS Bootstrap p-value..      0.062 	 	      0.067 
KS Naive p-value......    0.10331 	 	   0.075802 
KS Statistic..........    0.44318 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.12915 
std mean diff.........     38.264 	 	     46.754 

mean raw eQQ diff.....    0.15372 	 	    0.18391 
med  raw eQQ diff.....   0.076923 	 	   0.095238 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.17424 
med  eCDF diff........    0.12879 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	     4.5106 
T-test p-value........    0.25457 	 	    0.12131 
KS Bootstrap p-value..      0.541 	 	      0.617 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.32978 
std mean diff.........     44.666 	 	     27.476 

mean raw eQQ diff.....    0.13335 	 	    0.11131 
med  raw eQQ diff.....      0.125 	 	   0.085714 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	    0.15455 
med  eCDF diff........     0.1572 	 	    0.13636 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.334 	 	     1.0117 
T-test p-value........    0.21825 	 	    0.50931 
KS Bootstrap p-value..      0.032 	 	      0.177 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     3.2561 
std mean diff.........    -79.734 	 	    -149.01 

mean raw eQQ diff.....    0.69677 	 	     1.0158 
med  raw eQQ diff.....    0.50644 	 	    0.60137 
max  raw eQQ diff.....     1.8581 	 	     1.8655 

mean eCDF diff........    0.15085 	 	    0.18182 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.15765 
T-test p-value........     0.1311 	 	   0.094396 
KS Bootstrap p-value..      0.248 	 	      0.164 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19151 
std mean diff.........     28.261 	 	     25.353 

mean raw eQQ diff.....   0.068213 	 	   0.069664 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	   0.097403 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.7201 
T-test p-value........    0.42588 	 	    0.41987 
KS Bootstrap p-value..      0.626 	 	      0.689 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.019103 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2288   0.5804   0.3516           0.1646   1.0841  2.1353  *      
ave.log.duration.prev5          3.2154   1.4927   -1.7226          0.8074   -1.2543 -2.1336 *      
ave.outcome.prev5               0.1292   0.3131   0.1839           0.1220   0.5982  1.5079         
ForceUS.prop.prev10             0.3298   0.3926   0.0628           0.0937   0.2756  0.6702         
ave.log.duration.prev10         3.2561   2.4882   -0.7678          0.4757   -0.7777 -1.6141        
ave.outcome.prev10              0.1915   0.2423   0.0508           0.0623   0.2851  0.8154         
---Overall Test---
      chisquare df p.value
strat      5.84  6   0.441
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      5 
$p.values
ForceUS     NPC 
  0.882   0.882 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2201214 53.9572829  0.1718021 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2663642 53.3266900  0.2424992 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 14.417951   2.054021  11.130719 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
378.505754   1.538810   1.871071 

Closed Testing
Intersection 1 of 7 

*** bilateral basic.covs TRUE ***


Mon Apr 27 11:39:08 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.152470e-01  3.189527e-01  3.189527e-01  3.964481e-01  4.069706e-01  4.610718e-01  4.610718e-01  8.758250e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.189527e-01  3.189527e-01  3.514841e-01  3.580373e-01  4.610718e-01  8.459514e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.189527e-01  3.189527e-01  3.514841e-01  3.580373e-01  4.610718e-01  8.459514e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.768788e+02
 X[ 2] :	2.672685e+01
 X[ 3] :	4.301801e+02
 X[ 4] :	4.326194e+02
 X[ 5] :	8.628437e+02
 X[ 6] :	5.060707e+01
 X[ 7] :	8.647785e+02

Solution Found Generation 1
Number of Generations Run 12

Mon Apr 27 11:54:33 2015
Total run time : 0 hours 15 minutes and 25 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1       Fillmore         3          3
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4      Cleveland         9          6
4        Tyler         2          2        Lincoln         4          3
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5       Fillmore         3          3
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4     Eisenhower        28         18
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7       Coolidge         1          1
11     Clinton        24         10         Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.45455 
std mean diff.........    -24.661 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.064394 	 	          0 
med  eCDF diff........   0.064394 	 	          0 
max  eCDF diff........    0.12879 	 	          0 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1899.9 
std mean diff.........    -36.476 	 	    -13.423 

mean raw eQQ diff.....     23.091 	 	         18 
med  raw eQQ diff.....         28 	 	         20 
max  raw eQQ diff.....         44 	 	         33 

mean eCDF diff........    0.14069 	 	    0.11255 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.6177 
T-test p-value........     0.2987 	 	    0.35804 
KS Bootstrap p-value..      0.089 	 	      0.412 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	      1.894 
std mean diff.........    -24.175 	 	    -16.577 

mean raw eQQ diff.....    0.28279 	 	    0.36892 
med  raw eQQ diff.....   0.068993 	 	    0.25131 
max  raw eQQ diff.....     1.0986 	 	     1.0986 

mean eCDF diff........   0.081349 	 	   0.078788 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.18182 

var ratio (Tr/Co).....     1.6262 	 	     1.8342 
T-test p-value........     0.4891 	 	    0.35148 
KS Bootstrap p-value..      0.546 	 	      0.962 
KS Naive p-value......     0.7504 	 	    0.99336 
KS Statistic..........    0.24621 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     6.5455 
std mean diff.........    -30.276 	 	          0 

mean raw eQQ diff.....     2.1818 	 	     1.0909 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........     0.1096 	 	   0.068182 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....    0.90188 	 	     1.0941 
T-test p-value........    0.42299 	 	          1 
KS Bootstrap p-value..      0.575 	 	      0.949 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.6818 
std mean diff.........     20.622 	 	    -2.1101 

mean raw eQQ diff.....     1.3301 	 	    0.33178 
med  raw eQQ diff.....     1.0732 	 	   0.090349 
max  raw eQQ diff.....     4.1068 	 	     1.4784 

mean eCDF diff........   0.095902 	 	   0.051948 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	   0.090909 

var ratio (Tr/Co).....    0.92773 	 	     1.1422 
T-test p-value........    0.58194 	 	    0.84595 
KS Bootstrap p-value..      0.673 	 	          1 
KS Naive p-value......    0.91051 	 	          1 
KS Statistic..........    0.20455 	 	   0.090909 


Before Matching Minimum p.value: 0.089 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.31895 
Variable Name(s): super.power  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.16799 
std mean diff.........     99.051 	 	     114.25 

mean raw eQQ diff.....    0.35288 	 	    0.41237 
med  raw eQQ diff.....    0.33333 	 	    0.35714 
max  raw eQQ diff.....    0.73684 	 	        0.8 

mean eCDF diff........    0.35383 	 	    0.39394 
med  eCDF diff........    0.36742 	 	    0.45455 
max  eCDF diff........    0.52652 	 	    0.63636 

var ratio (Tr/Co).....     2.2487 	 	     5.5847 
T-test p-value........  0.0095173 	 	  0.0071443 
KS Bootstrap p-value..      0.021 	 	      0.017 
KS Naive p-value......   0.030535 	 	   0.023251 
KS Statistic..........    0.52652 	 	    0.63636 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     3.1823 
std mean diff.........    -108.63 	 	    -160.87 

mean raw eQQ diff.....    0.99897 	 	     1.6896 
med  raw eQQ diff.....       0.67 	 	     1.5564 
max  raw eQQ diff.....     2.3128 	 	     2.7795 

mean eCDF diff........    0.23153 	 	    0.30622 
med  eCDF diff........     0.2197 	 	    0.27273 
max  eCDF diff........    0.44318 	 	    0.54545 

var ratio (Tr/Co).....    0.61473 	 	    0.47953 
T-test p-value........   0.011625 	 	  0.0054495 
KS Bootstrap p-value..      0.062 	 	      0.056 
KS Naive p-value......    0.10331 	 	   0.075802 
KS Statistic..........    0.44318 	 	    0.54545 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.23662 
std mean diff.........     38.264 	 	     19.433 

mean raw eQQ diff.....    0.15372 	 	   0.094252 
med  raw eQQ diff.....   0.076923 	 	   0.029762 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.064935 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.0888 
T-test p-value........    0.25457 	 	    0.60221 
KS Bootstrap p-value..      0.541 	 	      0.951 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.35043 
std mean diff.........     44.666 	 	     18.448 

mean raw eQQ diff.....    0.13335 	 	    0.10279 
med  raw eQQ diff.....      0.125 	 	   0.071429 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	    0.11616 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.0794 
T-test p-value........    0.21825 	 	    0.67052 
KS Bootstrap p-value..      0.032 	 	      0.388 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     3.2581 
std mean diff.........    -79.734 	 	    -149.41 

mean raw eQQ diff.....    0.69677 	 	    0.92718 
med  raw eQQ diff.....    0.50644 	 	    0.60137 
max  raw eQQ diff.....     1.8581 	 	     1.8328 

mean eCDF diff........    0.15085 	 	    0.16818 
med  eCDF diff........    0.15152 	 	    0.13636 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.18454 
T-test p-value........     0.1311 	 	   0.050101 
KS Bootstrap p-value..      0.248 	 	      0.168 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.21083 
std mean diff.........     28.261 	 	     15.706 

mean raw eQQ diff.....   0.068213 	 	     0.0739 
med  raw eQQ diff.....   0.071429 	 	   0.071429 
max  raw eQQ diff.....    0.16667 	 	    0.16667 

mean eCDF diff........    0.11093 	 	   0.090909 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	      1.479 
T-test p-value........    0.42588 	 	    0.62155 
KS Bootstrap p-value..      0.626 	 	      0.696 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.0054495 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1680   0.5804   0.4124           0.1745   1.4879  2.3632  *      
ave.log.duration.prev5          3.1823   1.4927   -1.6896          0.6990   -1.2952 -2.4170 *      
ave.outcome.prev5               0.2366   0.3131   0.0764           0.1439   0.2260  0.5313         
ForceUS.prop.prev10             0.3504   0.3926   0.0422           0.0971   0.1880  0.4345         
ave.log.duration.prev10         3.2581   2.4882   -0.7699          0.4164   -0.8340 -1.8488 .      
ave.outcome.prev10              0.2108   0.2423   0.0315           0.0625   0.1716  0.5035         
---Overall Test---
      chisquare df p.value
strat      9.16  6   0.165
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
    -12 
$p.values
ForceUS     NPC 
  0.674   0.674 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2139706 58.3132353  0.1477941 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2051088 44.7025558  0.1597070 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 15.833824   1.626714  10.691912 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.788677   1.665675   1.386372 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs FALSE ***


Mon Apr 27 13:55:58 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.924344e-02  5.055043e-02  5.060374e-02  6.428219e-02  1.876946e-01  2.575494e-01  2.734243e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.351100e-01  4.037681e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.819259e-01  5.865424e-01  6.351680e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.091486e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.924344e-02  5.055043e-02  5.060374e-02  6.428219e-02  1.876946e-01  2.575494e-01  2.734243e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.351100e-01  4.037681e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.819259e-01  5.865424e-01  6.351680e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.091486e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.706686e+00
 X[ 2] :	1.343160e+02
 X[ 3] :	2.058533e+02
 X[ 4] :	4.499734e+02
 X[ 5] :	3.695321e+02
 X[ 6] :	9.302266e+02
 X[ 7] :	1.247170e+02
 X[ 8] :	1.931999e+02
 X[ 9] :	1.925659e+02
 X[10] :	4.701959e+02
 X[11] :	4.305286e+02
 X[12] :	2.173835e+02
 X[13] :	5.505157e+02
 X[14] :	9.092058e+02
 X[15] :	7.290912e+02
 X[16] :	9.467839e+02
 X[17] :	9.645995e+02
 X[18] :	1.837202e+02

Solution Found Generation 1
Number of Generations Run 11

Mon Apr 27 14:20:45 2015
Total run time : 0 hours 24 minutes and 47 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, T.         9          7
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1       Harding         1          1
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13      Buchanan         6          5
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1922.2 
std mean diff.........    -36.476 	 	    -45.666 

mean raw eQQ diff.....     23.091 	 	     31.545 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         56 

mean eCDF diff........    0.14069 	 	    0.15289 
med  eCDF diff........   0.087121 	 	    0.13636 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.3816 
T-test p-value........     0.2987 	 	    0.05055 
KS Bootstrap p-value..      0.089 	 	      0.427 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.8831 
std mean diff.........    -24.175 	 	    -15.754 

mean raw eQQ diff.....    0.28279 	 	    0.42112 
med  raw eQQ diff.....   0.068993 	 	    0.31015 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.081349 	 	   0.090909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.27273 

var ratio (Tr/Co).....     1.6262 	 	      1.886 
T-test p-value........     0.4891 	 	    0.58654 
KS Bootstrap p-value..      0.546 	 	      0.702 
KS Naive p-value......     0.7504 	 	    0.80792 
KS Statistic..........    0.24621 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     9.2727 
std mean diff.........    -30.276 	 	    -46.183 

mean raw eQQ diff.....     2.1818 	 	     2.9091 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........     0.1096 	 	    0.14286 
med  eCDF diff........    0.11742 	 	    0.13636 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	     0.8628 
T-test p-value........    0.42299 	 	   0.064282 
KS Bootstrap p-value..      0.575 	 	      0.709 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.1546 
std mean diff.........     20.622 	 	      19.69 

mean raw eQQ diff.....     1.3301 	 	     1.3632 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.15909 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.20455 	 	    0.36364 

var ratio (Tr/Co).....    0.92773 	 	    0.55199 
T-test p-value........    0.58194 	 	    0.63517 
KS Bootstrap p-value..      0.673 	 	      0.361 
KS Naive p-value......    0.91051 	 	    0.46107 
KS Statistic..........    0.20455 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.36149 
std mean diff.........     99.051 	 	     60.638 

mean raw eQQ diff.....    0.35288 	 	    0.21887 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.18182 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.6393 
T-test p-value........  0.0095173 	 	   0.049243 
KS Bootstrap p-value..      0.015 	 	       0.36 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.4367 
std mean diff.........    -108.63 	 	    -89.881 

mean raw eQQ diff.....    0.99897 	 	    0.94398 
med  raw eQQ diff.....       0.67 	 	    0.59918 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	     0.1866 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.36364 

var ratio (Tr/Co).....    0.61473 	 	    0.55746 
T-test p-value........   0.011625 	 	   0.050604 
KS Bootstrap p-value..      0.074 	 	       0.41 
KS Naive p-value......    0.10331 	 	    0.46107 
KS Statistic..........    0.44318 	 	    0.36364 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.20482 
std mean diff.........     38.264 	 	     27.517 

mean raw eQQ diff.....    0.15372 	 	    0.11733 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	    0.11189 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	      2.315 
T-test p-value........    0.25457 	 	    0.18769 
KS Bootstrap p-value..      0.522 	 	      0.673 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.34248 
std mean diff.........     44.666 	 	     21.922 

mean raw eQQ diff.....    0.13335 	 	   0.079028 
med  raw eQQ diff.....      0.125 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	   0.095694 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.4994 
T-test p-value........    0.21825 	 	    0.40377 
KS Bootstrap p-value..      0.027 	 	      0.735 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.7621 
std mean diff.........    -79.734 	 	    -53.153 

mean raw eQQ diff.....    0.69677 	 	    0.49357 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.12987 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.27273 

var ratio (Tr/Co).....    0.23917 	 	    0.29942 
T-test p-value........     0.1311 	 	    0.27342 
KS Bootstrap p-value..       0.24 	 	       0.75 
KS Naive p-value......    0.37173 	 	    0.80792 
KS Statistic..........    0.33333 	 	    0.27273 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.20258 
std mean diff.........     28.261 	 	     19.824 

mean raw eQQ diff.....   0.068213 	 	   0.065083 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4034 
T-test p-value........    0.42588 	 	    0.25755 
KS Bootstrap p-value..       0.62 	 	      0.747 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	   0.090909 
std mean diff.........     14.046 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	        1.8 
T-test p-value........    0.69025 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	     -3.426 
std mean diff.........    -36.363 	 	      -7.51 

mean raw eQQ diff.....    0.77867 	 	    0.72911 
med  raw eQQ diff.....   0.086413 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	      2.019 

mean eCDF diff........   0.092803 	 	   0.090909 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.88456 	 	    0.69103 
T-test p-value........    0.33901 	 	    0.80915 
KS Bootstrap p-value..      0.117 	 	       0.65 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     36.854 
std mean diff.........    -17.032 	 	    -13.424 

mean raw eQQ diff.....     4.2007 	 	     5.0383 
med  raw eQQ diff.....     3.8333 	 	     5.2045 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064749 	 	    0.08134 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....     1.0593 	 	    0.98229 
T-test p-value........    0.64236 	 	    0.48193 
KS Bootstrap p-value..      0.709 	 	      0.736 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     18.364 
std mean diff.........     -13.57 	 	    -21.116 

mean raw eQQ diff.....          3 	 	     4.8182 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.067149 	 	     0.1123 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	     1.2244 
T-test p-value........    0.70823 	 	    0.33511 
KS Bootstrap p-value..      0.814 	 	      0.976 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.049243 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.36149 
std mean diff.........     99.051 	 	     60.638 

mean raw eQQ diff.....    0.35288 	 	    0.21887 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.18182 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.6393 
T-test p-value........  0.0095173 	 	   0.049243 
KS Bootstrap p-value..      0.021 	 	      0.387 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.4367 
std mean diff.........    -108.63 	 	    -89.881 

mean raw eQQ diff.....    0.99897 	 	    0.94398 
med  raw eQQ diff.....       0.67 	 	    0.59918 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	     0.1866 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.36364 

var ratio (Tr/Co).....    0.61473 	 	    0.55746 
T-test p-value........   0.011625 	 	   0.050604 
KS Bootstrap p-value..      0.062 	 	      0.399 
KS Naive p-value......    0.10331 	 	    0.46107 
KS Statistic..........    0.44318 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.20482 
std mean diff.........     38.264 	 	     27.517 

mean raw eQQ diff.....    0.15372 	 	    0.11733 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	    0.11189 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	      2.315 
T-test p-value........    0.25457 	 	    0.18769 
KS Bootstrap p-value..      0.541 	 	      0.659 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.34248 
std mean diff.........     44.666 	 	     21.922 

mean raw eQQ diff.....    0.13335 	 	   0.079028 
med  raw eQQ diff.....      0.125 	 	   0.051948 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	   0.095694 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.4994 
T-test p-value........    0.21825 	 	    0.40377 
KS Bootstrap p-value..      0.032 	 	      0.739 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.7621 
std mean diff.........    -79.734 	 	    -53.153 

mean raw eQQ diff.....    0.69677 	 	    0.49357 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.12987 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.27273 

var ratio (Tr/Co).....    0.23917 	 	    0.29942 
T-test p-value........     0.1311 	 	    0.27342 
KS Bootstrap p-value..      0.248 	 	      0.773 
KS Naive p-value......    0.37173 	 	    0.80792 
KS Statistic..........    0.33333 	 	    0.27273 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.20258 
std mean diff.........     28.261 	 	     19.824 

mean raw eQQ diff.....   0.068213 	 	   0.065083 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4034 
T-test p-value........    0.42588 	 	    0.25755 
KS Bootstrap p-value..      0.626 	 	      0.729 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.049243 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3615   0.5804   0.2189           0.1180   0.6758  1.8547  .      
ave.log.duration.prev5          2.4367   1.4927   -0.9440          0.5115   -0.7605 -1.8455 .      
ave.outcome.prev5               0.2048   0.3131   0.1082           0.0832   0.3252  1.3008         
ForceUS.prop.prev10             0.3425   0.3926   0.0501           0.0594   0.2401  0.8431         
ave.log.duration.prev10         2.7621   2.4882   -0.2739          0.2504   -0.3608 -1.0940        
ave.outcome.prev10              0.2026   0.2423   0.0397           0.0352   0.2142  1.1290         
---Overall Test---
      chisquare df p.value
strat      6.97  6   0.323
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      6 
$p.values
ForceUS     NPC 
   0.84    0.84 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07163188 18.04791271  0.12239089 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2318765 44.7760406  0.2119797 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 4.6560721  0.5638321  7.9245731 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.1607927  0.4409679  1.3332349 

Closed Testing
Intersection 1 of 7 

*** bilateral struct.covs TRUE ***


Mon Apr 27 16:25:38 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.973547e-02  6.519298e-02  6.798939e-02  6.968693e-02  6.968693e-02  7.632461e-02  1.055999e-01  1.484152e-01  1.908331e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.287116e-01  4.103834e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.213434e-01  7.052577e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.732206e-01  8.741812e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.244107e-02  5.456981e-02  6.438356e-02  7.217884e-02  1.364425e-01  1.490070e-01  1.490070e-01  1.677944e-01  1.811168e-01  1.956550e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.875153e-01  5.706690e-01  5.706690e-01  6.189006e-01  6.517954e-01  7.012754e-01  7.806730e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.244107e-02  5.456981e-02  6.438356e-02  7.217884e-02  1.364425e-01  1.490070e-01  1.490070e-01  1.677944e-01  1.811168e-01  1.956550e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.875153e-01  5.706690e-01  5.706690e-01  6.189006e-01  6.517954e-01  7.012754e-01  7.806730e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	3.104325e+02
 X[ 2] :	3.619840e+02
 X[ 3] :	1.445331e+02
 X[ 4] :	9.850038e+02
 X[ 5] :	3.716864e+02
 X[ 6] :	5.297759e+02
 X[ 7] :	1.144310e+02
 X[ 8] :	6.944728e+02
 X[ 9] :	5.848002e+02
 X[10] :	4.920739e+02
 X[11] :	3.166786e+01
 X[12] :	5.068838e+02
 X[13] :	3.128114e+02
 X[14] :	2.838088e+02
 X[15] :	4.863268e+02
 X[16] :	8.513434e+01
 X[17] :	5.455957e+02
 X[18] :	6.412423e+02

Solution Found Generation 1
Number of Generations Run 12

Mon Apr 27 16:50:50 2015
Total run time : 0 hours 25 minutes and 12 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Roosevelt, T.         9          7
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4  Roosevelt, F.        10          8
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4          Obama         4          3
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7           Ford         4          4
11     Clinton        24         10          Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.54545 
std mean diff.........    -24.661 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.045455 
med  eCDF diff........   0.064394 	 	   0.045455 
max  eCDF diff........    0.12879 	 	   0.090909 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	    0.57067 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1919.6 
std mean diff.........    -36.476 	 	    -41.981 

mean raw eQQ diff.....     23.091 	 	         29 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         40 

mean eCDF diff........    0.14069 	 	       0.15 
med  eCDF diff........   0.087121 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.1098 
T-test p-value........     0.2987 	 	    0.05457 
KS Bootstrap p-value..      0.089 	 	      0.408 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.8062 
std mean diff.........    -24.175 	 	    -9.9601 

mean raw eQQ diff.....    0.28279 	 	    0.28785 
med  raw eQQ diff.....   0.068993 	 	    0.28768 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.081349 	 	   0.083916 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.18182 

var ratio (Tr/Co).....     1.6262 	 	     1.3252 
T-test p-value........     0.4891 	 	    0.70128 
KS Bootstrap p-value..      0.546 	 	      0.959 
KS Naive p-value......     0.7504 	 	    0.99336 
KS Statistic..........    0.24621 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.5455 
std mean diff.........    -30.276 	 	    -33.868 

mean raw eQQ diff.....     2.1818 	 	     2.1818 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          4 

mean eCDF diff........     0.1096 	 	    0.13287 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	     1.0739 
T-test p-value........    0.42299 	 	   0.052441 
KS Bootstrap p-value..      0.575 	 	      0.699 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	      4.854 
std mean diff.........     20.622 	 	     32.124 

mean raw eQQ diff.....     1.3301 	 	     1.6639 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.18182 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.20455 	 	    0.36364 

var ratio (Tr/Co).....    0.92773 	 	    0.60333 
T-test p-value........    0.58194 	 	    0.48752 
KS Bootstrap p-value..      0.673 	 	      0.354 
KS Naive p-value......    0.91051 	 	    0.46107 
KS Statistic..........    0.20455 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.36076 
std mean diff.........     99.051 	 	     60.839 

mean raw eQQ diff.....    0.35288 	 	     0.2196 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15152 
med  eCDF diff........    0.36742 	 	    0.13636 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5176 
T-test p-value........  0.0095173 	 	   0.072179 
KS Bootstrap p-value..      0.015 	 	      0.343 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.2586 
std mean diff.........    -108.63 	 	    -72.924 

mean raw eQQ diff.....    0.99897 	 	    0.76589 
med  raw eQQ diff.....       0.67 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.19251 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.45455 

var ratio (Tr/Co).....    0.61473 	 	    0.88776 
T-test p-value........   0.011625 	 	   0.064384 
KS Bootstrap p-value..      0.074 	 	      0.155 
KS Naive p-value......    0.10331 	 	    0.20584 
KS Statistic..........    0.44318 	 	    0.45455 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.20736 
std mean diff.........     38.264 	 	     26.872 

mean raw eQQ diff.....    0.15372 	 	    0.10571 
med  raw eQQ diff.....   0.076923 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.099174 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.3061 
T-test p-value........    0.25457 	 	    0.19566 
KS Bootstrap p-value..      0.522 	 	      0.939 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.31582 
std mean diff.........     44.666 	 	     33.581 

mean raw eQQ diff.....    0.13335 	 	   0.081444 
med  raw eQQ diff.....      0.125 	 	   0.053922 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.10695 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     2.5899 
T-test p-value........    0.21825 	 	    0.13644 
KS Bootstrap p-value..      0.027 	 	      0.385 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.5923 
std mean diff.........    -79.734 	 	     -20.19 

mean raw eQQ diff.....    0.69677 	 	    0.33391 
med  raw eQQ diff.....    0.50644 	 	    0.10319 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.13397 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.48256 
T-test p-value........     0.1311 	 	     0.6189 
KS Bootstrap p-value..       0.24 	 	      0.374 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19186 
std mean diff.........     28.261 	 	     25.178 

mean raw eQQ diff.....   0.068213 	 	   0.072079 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.11688 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3208 
T-test p-value........    0.42588 	 	    0.16779 
KS Bootstrap p-value..       0.62 	 	      0.714 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	    0.18182 
std mean diff.........     14.046 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028409 	 	          0 
med  eCDF diff........   0.028409 	 	          0 
max  eCDF diff........   0.056818 	 	          0 

var ratio (Tr/Co).....     1.4338 	 	          1 
T-test p-value........    0.69025 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	    -3.2627 
std mean diff.........    -36.363 	 	    -14.432 

mean raw eQQ diff.....    0.77867 	 	    0.86165 
med  raw eQQ diff.....   0.086413 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........   0.092803 	 	   0.081818 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.88456 	 	    0.93052 
T-test p-value........    0.33901 	 	     0.6518 
KS Bootstrap p-value..      0.117 	 	      0.631 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     35.479 
std mean diff.........    -17.032 	 	    -6.4295 

mean raw eQQ diff.....     4.2007 	 	     5.9706 
med  raw eQQ diff.....     3.8333 	 	     5.2045 
max  raw eQQ diff.....     13.667 	 	     15.571 

mean eCDF diff........   0.064749 	 	    0.10606 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.36364 

var ratio (Tr/Co).....     1.0593 	 	     1.3151 
T-test p-value........    0.64236 	 	    0.78067 
KS Bootstrap p-value..      0.709 	 	       0.37 
KS Naive p-value......    0.85977 	 	    0.46107 
KS Statistic..........     0.2197 	 	    0.36364 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.18182 
std mean diff.........     6.0062 	 	     36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.090909 
med  eCDF diff........   0.015152 	 	   0.090909 
max  eCDF diff........   0.030303 	 	    0.18182 

var ratio (Tr/Co).....     1.0977 	 	     1.5556 
T-test p-value........    0.86892 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     19.182 
std mean diff.........     -13.57 	 	    -26.874 

mean raw eQQ diff.....          3 	 	     4.3636 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.067149 	 	   0.084848 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	    0.77827 
T-test p-value........    0.70823 	 	    0.18112 
KS Bootstrap p-value..      0.814 	 	      0.976 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 

After Matching Minimum p.value: 0.052441 
Variable Name(s): nMIDs.prev5  Number(s): 6 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.36076 
std mean diff.........     99.051 	 	     60.839 

mean raw eQQ diff.....    0.35288 	 	     0.2196 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15152 
med  eCDF diff........    0.36742 	 	    0.13636 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5176 
T-test p-value........  0.0095173 	 	   0.072179 
KS Bootstrap p-value..      0.021 	 	      0.359 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.2586 
std mean diff.........    -108.63 	 	    -72.924 

mean raw eQQ diff.....    0.99897 	 	    0.76589 
med  raw eQQ diff.....       0.67 	 	    0.57881 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.19251 
med  eCDF diff........     0.2197 	 	    0.18182 
max  eCDF diff........    0.44318 	 	    0.45455 

var ratio (Tr/Co).....    0.61473 	 	    0.88776 
T-test p-value........   0.011625 	 	   0.064384 
KS Bootstrap p-value..      0.062 	 	      0.165 
KS Naive p-value......    0.10331 	 	    0.20584 
KS Statistic..........    0.44318 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.20736 
std mean diff.........     38.264 	 	     26.872 

mean raw eQQ diff.....    0.15372 	 	    0.10571 
med  raw eQQ diff.....   0.076923 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.099174 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.3061 
T-test p-value........    0.25457 	 	    0.19566 
KS Bootstrap p-value..      0.541 	 	      0.931 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.31582 
std mean diff.........     44.666 	 	     33.581 

mean raw eQQ diff.....    0.13335 	 	   0.081444 
med  raw eQQ diff.....      0.125 	 	   0.053922 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.10695 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     2.5899 
T-test p-value........    0.21825 	 	    0.13644 
KS Bootstrap p-value..      0.032 	 	      0.382 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.5923 
std mean diff.........    -79.734 	 	     -20.19 

mean raw eQQ diff.....    0.69677 	 	    0.33391 
med  raw eQQ diff.....    0.50644 	 	    0.10319 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.13397 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.48256 
T-test p-value........     0.1311 	 	     0.6189 
KS Bootstrap p-value..      0.248 	 	      0.397 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19186 
std mean diff.........     28.261 	 	     25.178 

mean raw eQQ diff.....   0.068213 	 	   0.072079 
med  raw eQQ diff.....   0.071429 	 	   0.079487 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.11688 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3208 
T-test p-value........    0.42588 	 	    0.16779 
KS Bootstrap p-value..      0.626 	 	      0.717 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.064384 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3608   0.5804   0.2196           0.1278   0.7279  1.7189  .      
ave.log.duration.prev5          2.2586   1.4927   -0.7659          0.4349   -0.7072 -1.7611 .      
ave.outcome.prev5               0.2074   0.3131   0.1057           0.0826   0.3174  1.2794         
ForceUS.prop.prev10             0.3158   0.3926   0.0768           0.0528   0.4034  1.4552         
ave.log.duration.prev10         2.5923   2.4882   -0.1040          0.2051   -0.1629 -0.5072        
ave.outcome.prev10              0.1919   0.2423   0.0504           0.0372   0.2686  1.3570         
---Overall Test---
      chisquare df p.value
strat      6.16  6   0.405
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.516   0.516 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1519608 35.8872549  0.1372549 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2015734 51.6427073  0.2468282 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  9.041667   1.861222   7.789216 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.251954   1.026101   1.444145 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs FALSE ***


Mon Apr 27 18:47:10 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.464483e-02  3.659096e-02  4.257747e-02  4.597993e-02  8.839067e-02  9.009005e-02  9.009005e-02  1.490070e-01  1.490070e-01  2.058362e-01  2.058362e-01  2.723974e-01  2.728074e-01  2.916177e-01  2.944718e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.492001e-01  4.610718e-01  4.791504e-01  4.883148e-01  7.774809e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.232062e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.527019e-02  4.306904e-02  4.504308e-02  5.250725e-02  8.839067e-02  9.009005e-02  9.009005e-02  1.490070e-01  1.490070e-01  2.058362e-01  2.058362e-01  2.477390e-01  2.897020e-01  3.076657e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.293396e-01  4.539095e-01  4.610718e-01  4.791504e-01  4.904797e-01  7.818556e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.232520e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	3.527019e-02  4.306904e-02  5.154559e-02  8.498872e-02  9.009005e-02  9.009005e-02  1.490070e-01  1.490070e-01  1.875903e-01  2.058362e-01  2.058362e-01  2.433320e-01  2.897020e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.268787e-01  3.375830e-01  4.510624e-01  4.610718e-01  4.791504e-01  5.160478e-01  7.818556e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.266620e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      3 	4.371508e-02  4.427951e-02  4.427951e-02  4.678555e-02  5.311369e-02  9.009005e-02  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.585911e-01  1.799721e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.109328e-01  4.486193e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.832373e-01  4.996153e-01  5.616684e-01  6.074069e-01  6.278425e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.371508e-02  4.427951e-02  4.427951e-02  4.678555e-02  5.311369e-02  9.009005e-02  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.585911e-01  1.799721e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.109328e-01  4.486193e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  4.832373e-01  4.996153e-01  5.616684e-01  6.074069e-01  6.278425e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.616952e+02
 X[ 2] :	2.131341e+02
 X[ 3] :	4.961121e+02
 X[ 4] :	5.583063e+02
 X[ 5] :	4.975186e+02
 X[ 6] :	5.068444e+00
 X[ 7] :	1.590961e+02
 X[ 8] :	1.801904e+02
 X[ 9] :	9.608219e+02
 X[10] :	1.187050e+02
 X[11] :	7.567263e+02
 X[12] :	5.878174e+02
 X[13] :	6.278783e+02
 X[14] :	8.807035e+02
 X[15] :	4.848514e+02
 X[16] :	3.163493e+01
 X[17] :	9.411572e+02
 X[18] :	5.589407e+02
 X[19] :	4.715943e+01
 X[20] :	3.781367e+02

Solution Found Generation 3
Number of Generations Run 14

Mon Apr 27 19:19:04 2015
Total run time : 0 hours 31 minutes and 54 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1          Grant         7          6
2       Monroe         6          6  Roosevelt, F.        10          8
3      Jackson         4          4       Coolidge         1          1
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4          Obama         4          3
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7           Ford         4          4
11     Clinton        24         10        Kennedy         9          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1921.3 
std mean diff.........    -36.476 	 	     -44.35 

mean raw eQQ diff.....     23.091 	 	     30.636 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         58 

mean eCDF diff........    0.14069 	 	    0.14463 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.4557 
T-test p-value........     0.2987 	 	   0.046786 
KS Bootstrap p-value..      0.089 	 	      0.417 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.9595 
std mean diff.........    -24.175 	 	    -21.516 

mean raw eQQ diff.....    0.28279 	 	    0.44116 
med  raw eQQ diff.....   0.068993 	 	    0.46262 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.081349 	 	    0.10909 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.27273 

var ratio (Tr/Co).....     1.6262 	 	     1.8206 
T-test p-value........     0.4891 	 	    0.48324 
KS Bootstrap p-value..      0.546 	 	      0.701 
KS Naive p-value......     0.7504 	 	    0.80792 
KS Statistic..........    0.24621 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.7273 
std mean diff.........    -30.276 	 	    -36.947 

mean raw eQQ diff.....     2.1818 	 	     2.5455 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          9 

mean eCDF diff........     0.1096 	 	    0.12587 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.78158 
T-test p-value........    0.42299 	 	    0.09009 
KS Bootstrap p-value..      0.575 	 	      0.709 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.0792 
std mean diff.........     20.622 	 	     22.809 

mean raw eQQ diff.....     1.3301 	 	     1.4386 
med  raw eQQ diff.....     1.0732 	 	     1.0732 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.15341 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.20455 	 	    0.27273 

var ratio (Tr/Co).....    0.92773 	 	     0.6371 
T-test p-value........    0.58194 	 	    0.60741 
KS Bootstrap p-value..      0.673 	 	      0.699 
KS Naive p-value......    0.91051 	 	    0.80792 
KS Statistic..........    0.20455 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.29583 
std mean diff.........     99.051 	 	     78.829 

mean raw eQQ diff.....    0.35288 	 	    0.28453 
med  raw eQQ diff.....    0.33333 	 	       0.25 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.35383 	 	    0.22727 
med  eCDF diff........    0.36742 	 	    0.22727 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.7354 
T-test p-value........  0.0095173 	 	   0.043715 
KS Bootstrap p-value..      0.015 	 	      0.367 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.1466 
std mean diff.........    -108.63 	 	    -62.261 

mean raw eQQ diff.....    0.99897 	 	    0.65391 
med  raw eQQ diff.....       0.67 	 	    0.39412 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.12919 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.87084 
T-test p-value........   0.011625 	 	   0.053114 
KS Bootstrap p-value..      0.074 	 	      0.759 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.25087 
std mean diff.........     38.264 	 	     15.812 

mean raw eQQ diff.....    0.15372 	 	   0.098839 
med  raw eQQ diff.....   0.076923 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	    0.06993 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.2134 
T-test p-value........    0.25457 	 	    0.62784 
KS Bootstrap p-value..      0.522 	 	      0.939 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3277 
std mean diff.........     44.666 	 	     28.386 

mean raw eQQ diff.....    0.13335 	 	   0.087746 
med  raw eQQ diff.....      0.125 	 	   0.055556 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	    0.11483 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.4658 
T-test p-value........    0.21825 	 	    0.17997 
KS Bootstrap p-value..      0.027 	 	      0.375 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.7057 
std mean diff.........    -79.734 	 	    -42.208 

mean raw eQQ diff.....    0.69677 	 	    0.47168 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.15152 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.31362 
T-test p-value........     0.1311 	 	    0.56167 
KS Bootstrap p-value..       0.24 	 	      0.402 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.20466 
std mean diff.........     28.261 	 	     18.787 

mean raw eQQ diff.....   0.068213 	 	   0.064919 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4169 
T-test p-value........    0.42588 	 	    0.44862 
KS Bootstrap p-value..       0.62 	 	      0.736 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	   0.090909 
std mean diff.........     14.046 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	        1.8 
T-test p-value........    0.69025 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	    -2.9507 
std mean diff.........    -36.363 	 	    -27.649 

mean raw eQQ diff.....    0.77867 	 	    0.66822 
med  raw eQQ diff.....   0.086413 	 	   0.086413 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........   0.092803 	 	   0.072727 
med  eCDF diff........   0.051136 	 	   0.045455 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.88456 	 	     1.1263 
T-test p-value........    0.33901 	 	    0.41093 
KS Bootstrap p-value..      0.117 	 	      0.594 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     37.433 
std mean diff.........    -17.032 	 	    -16.373 

mean raw eQQ diff.....     4.2007 	 	      5.436 
med  raw eQQ diff.....     3.8333 	 	      5.375 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064749 	 	   0.081818 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....     1.0593 	 	    0.97471 
T-test p-value........    0.64236 	 	    0.49962 
KS Bootstrap p-value..      0.709 	 	       0.73 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.18182 
std mean diff.........     6.0062 	 	     36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.090909 
med  eCDF diff........   0.015152 	 	   0.090909 
max  eCDF diff........   0.030303 	 	    0.18182 

var ratio (Tr/Co).....     1.0977 	 	     1.5556 
T-test p-value........    0.86892 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     19.727 
std mean diff.........     -13.57 	 	    -30.713 

mean raw eQQ diff.....          3 	 	     4.9091 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.067149 	 	     0.1016 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	    0.83612 
T-test p-value........    0.70823 	 	    0.15859 
KS Bootstrap p-value..      0.814 	 	      0.978 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.45455 
std mean diff.........     204.78 	 	     150.76 

mean raw eQQ diff.....    0.63636 	 	    0.45455 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.30871 	 	    0.22727 
med  eCDF diff........    0.30871 	 	    0.22727 
max  eCDF diff........    0.61742 	 	    0.45455 

var ratio (Tr/Co).....     0.4217 	 	    0.33333 
T-test p-value........ 5.9128e-05 	 	    0.04428 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.043715 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.29583 
std mean diff.........     99.051 	 	     78.829 

mean raw eQQ diff.....    0.35288 	 	    0.28453 
med  raw eQQ diff.....    0.33333 	 	       0.25 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.35383 	 	    0.22727 
med  eCDF diff........    0.36742 	 	    0.22727 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.7354 
T-test p-value........  0.0095173 	 	   0.043715 
KS Bootstrap p-value..      0.021 	 	      0.366 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.1466 
std mean diff.........    -108.63 	 	    -62.261 

mean raw eQQ diff.....    0.99897 	 	    0.65391 
med  raw eQQ diff.....       0.67 	 	    0.39412 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.12919 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.87084 
T-test p-value........   0.011625 	 	   0.053114 
KS Bootstrap p-value..      0.062 	 	      0.743 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.25087 
std mean diff.........     38.264 	 	     15.812 

mean raw eQQ diff.....    0.15372 	 	   0.098839 
med  raw eQQ diff.....   0.076923 	 	    0.02381 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	    0.06993 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.2134 
T-test p-value........    0.25457 	 	    0.62784 
KS Bootstrap p-value..      0.541 	 	      0.952 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3277 
std mean diff.........     44.666 	 	     28.386 

mean raw eQQ diff.....    0.13335 	 	   0.087746 
med  raw eQQ diff.....      0.125 	 	   0.055556 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	    0.11483 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.4658 
T-test p-value........    0.21825 	 	    0.17997 
KS Bootstrap p-value..      0.032 	 	      0.389 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.7057 
std mean diff.........    -79.734 	 	    -42.208 

mean raw eQQ diff.....    0.69677 	 	    0.47168 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.15152 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.31362 
T-test p-value........     0.1311 	 	    0.56167 
KS Bootstrap p-value..      0.248 	 	      0.389 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.20466 
std mean diff.........     28.261 	 	     18.787 

mean raw eQQ diff.....   0.068213 	 	   0.064919 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4169 
T-test p-value........    0.42588 	 	    0.44862 
KS Bootstrap p-value..      0.626 	 	      0.722 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.043715 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2958   0.5804   0.2845           0.1502   0.9540  1.8940  .      
ave.log.duration.prev5          2.1466   1.4927   -0.6539          0.3575   -0.6007 -1.8290 .      
ave.outcome.prev5               0.2509   0.3131   0.0622           0.1258   0.1856  0.4945         
ForceUS.prop.prev10             0.3277   0.3926   0.0649           0.0491   0.3095  1.3222         
ave.log.duration.prev10         2.7057   2.4882   -0.2175          0.3682   -0.2917 -0.5907        
ave.outcome.prev10              0.2047   0.2423   0.0376           0.0490   0.2034  0.7672         
---Overall Test---
      chisquare df p.value
strat      5.48  6   0.484
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     21 
$p.values
ForceUS     NPC 
  0.269   0.269 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.14987484 30.69993742  0.08635795 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1591492 39.3033134  0.1256161 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  8.617804   1.480838   4.929599 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.2199461  0.8296336  0.9615622 

Closed Testing
Intersection 1 of 7 

*** bilateral party.covs TRUE ***


Mon Apr 27 21:22:16 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	5.091118e-02  5.661514e-02  7.787954e-02  9.659782e-02  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  2.058362e-01  2.858690e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.419547e-01  3.588199e-01  4.108686e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.901088e-01  6.174786e-01  6.838378e-01  7.709849e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.950079e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      1 	5.300205e-02  5.356158e-02  5.430902e-02  6.968693e-02  6.968693e-02  6.968693e-02  6.968693e-02  6.968693e-02  6.968693e-02  1.291653e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.803957e-01  3.894974e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.634590e-01  5.292018e-01  5.706690e-01  5.706690e-01  5.988918e-01  6.775889e-01  7.709849e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.306780e-01  8.316765e-01  9.933560e-01  

      2 	5.643537e-02  5.720113e-02  5.932888e-02  6.968693e-02  6.968693e-02  6.968693e-02  6.968693e-02  1.336378e-01  1.490070e-01  1.490070e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.553866e-01  3.982371e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.708916e-01  5.186855e-01  5.704154e-01  5.706690e-01  5.706690e-01  6.817245e-01  7.002202e-01  7.170684e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.539823e-01  9.933560e-01  9.933560e-01  

     11 	5.658285e-02  6.020381e-02  6.866168e-02  8.178402e-02  3.009097e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.189665e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.697395e-01  5.559042e-01  5.706690e-01  5.706690e-01  5.820285e-01  7.222779e-01  7.335331e-01  7.893461e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.324482e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     15 	6.171613e-02  6.588895e-02  8.180278e-02  1.022043e-01  1.197630e-01  1.684107e-01  2.058362e-01  2.474046e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.779171e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.740533e-01  5.570321e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.578903e-01  9.123101e-01  9.802984e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     25 	6.189029e-02  7.943414e-02  1.011322e-01  1.490070e-01  1.490070e-01  2.367744e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.500369e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.949212e-01  6.502084e-01  6.515482e-01  6.632715e-01  6.705435e-01  7.480424e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.145580e-01  8.826035e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     26 	6.485440e-02  8.946231e-02  1.508487e-01  1.660793e-01  1.966049e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.272508e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.082780e-01  5.541369e-01  5.549899e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.720910e-01  6.704406e-01  6.772417e-01  7.609938e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     27 	6.611236e-02  8.363290e-02  1.087082e-01  1.295983e-01  2.058362e-01  2.058362e-01  2.311659e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.253058e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.003759e-01  5.505273e-01  5.706690e-01  5.706690e-01  5.772290e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.229762e-01  8.245359e-01  9.098047e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     28 	6.831751e-02  8.870235e-02  1.044464e-01  1.490070e-01  1.490070e-01  1.717542e-01  1.832372e-01  2.058362e-01  2.058362e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.081557e-01  4.500233e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.696331e-01  5.483526e-01  6.417931e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.425336e-01  8.735264e-01  9.644427e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.831751e-02  8.870235e-02  1.044464e-01  1.490070e-01  1.490070e-01  1.717542e-01  1.832372e-01  2.058362e-01  2.058362e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.081557e-01  4.500233e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.696331e-01  5.483526e-01  6.417931e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.425336e-01  8.735264e-01  9.644427e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.231756e+02
 X[ 2] :	5.566342e+01
 X[ 3] :	3.049937e+01
 X[ 4] :	2.870099e+02
 X[ 5] :	2.802952e+02
 X[ 6] :	7.862193e+02
 X[ 7] :	4.811933e+01
 X[ 8] :	9.056146e+02
 X[ 9] :	7.227509e+02
 X[10] :	1.207312e+02
 X[11] :	8.212879e+02
 X[12] :	9.357073e+01
 X[13] :	1.694555e+02
 X[14] :	4.038709e+00
 X[15] :	6.173361e+02
 X[16] :	1.491012e+02
 X[17] :	8.318998e+02
 X[18] :	4.238461e+02
 X[19] :	8.090279e+02
 X[20] :	1.184951e+02

Solution Found Generation 28
Number of Generations Run 39

Mon Apr 27 22:23:23 2015
Total run time : 1 hours 1 minutes and 7 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1 Roosevelt, F.        10          8
2       Monroe         6          6 Roosevelt, F.        10          8
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2         Grant         7          6
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13      Buchanan         6          5
8       Truman         6          4 Roosevelt, F.        10          8
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7         Obama         4          3
11     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	       1921 
std mean diff.........    -36.476 	 	    -43.955 

mean raw eQQ diff.....     23.091 	 	     32.909 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         88 

mean eCDF diff........    0.14069 	 	    0.16043 
med  eCDF diff........   0.087121 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.3398 
T-test p-value........     0.2987 	 	    0.10445 
KS Bootstrap p-value..      0.089 	 	      0.372 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	      2.058 
std mean diff.........    -24.175 	 	    -28.935 

mean raw eQQ diff.....    0.28279 	 	    0.53329 
med  raw eQQ diff.....   0.068993 	 	    0.37469 
max  raw eQQ diff.....     1.0986 	 	     1.6094 

mean eCDF diff........   0.081349 	 	    0.13223 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.27273 

var ratio (Tr/Co).....     1.6262 	 	      1.465 
T-test p-value........     0.4891 	 	    0.45002 
KS Bootstrap p-value..      0.546 	 	      0.607 
KS Naive p-value......     0.7504 	 	    0.80792 
KS Statistic..........    0.24621 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     7.4545 
std mean diff.........    -30.276 	 	    -15.394 

mean raw eQQ diff.....     2.1818 	 	     1.6364 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          4 

mean eCDF diff........     0.1096 	 	   0.098485 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.91116 
T-test p-value........    0.42299 	 	    0.18324 
KS Bootstrap p-value..      0.575 	 	      0.671 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     6.8344 
std mean diff.........     20.622 	 	    -49.777 

mean raw eQQ diff.....     1.3301 	 	     1.9638 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	   0.098485 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	    0.36364 

var ratio (Tr/Co).....    0.92773 	 	    0.29169 
T-test p-value........    0.58194 	 	    0.40816 
KS Bootstrap p-value..      0.673 	 	      0.344 
KS Naive p-value......    0.91051 	 	    0.46107 
KS Statistic..........    0.20455 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.40043 
std mean diff.........     99.051 	 	     49.849 

mean raw eQQ diff.....    0.35288 	 	    0.17993 
med  raw eQQ diff.....    0.33333 	 	   0.095238 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	     0.1157 
med  eCDF diff........    0.36742 	 	   0.090909 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5391 
T-test p-value........  0.0095173 	 	   0.068318 
KS Bootstrap p-value..      0.015 	 	      0.309 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0479 
std mean diff.........    -108.63 	 	    -52.864 

mean raw eQQ diff.....    0.99897 	 	     0.5877 
med  raw eQQ diff.....       0.67 	 	    0.28344 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	   0.072727 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     1.2673 
T-test p-value........   0.011625 	 	   0.088702 
KS Bootstrap p-value..      0.074 	 	      0.685 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	   0.099784 
std mean diff.........     38.264 	 	      54.22 

mean raw eQQ diff.....    0.15372 	 	    0.21328 
med  raw eQQ diff.....   0.076923 	 	    0.13182 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.23636 
med  eCDF diff........    0.12879 	 	    0.22727 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     3.4983 	 	     4.5401 
T-test p-value........    0.25457 	 	    0.17175 
KS Bootstrap p-value..      0.522 	 	      0.127 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3949 
std mean diff.........     44.666 	 	    -1.0031 

mean raw eQQ diff.....    0.13335 	 	    0.11264 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.12727 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.4043 
T-test p-value........    0.21825 	 	    0.96444 
KS Bootstrap p-value..      0.027 	 	      0.695 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	      2.448 
std mean diff.........    -79.734 	 	     7.8102 

mean raw eQQ diff.....    0.69677 	 	     0.4782 
med  raw eQQ diff.....    0.50644 	 	    0.51605 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.19886 
med  eCDF diff........    0.15152 	 	    0.22727 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.40018 
T-test p-value........     0.1311 	 	    0.87353 
KS Bootstrap p-value..       0.24 	 	      0.159 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.23166 
std mean diff.........     28.261 	 	     5.3077 

mean raw eQQ diff.....   0.068213 	 	   0.096846 
med  raw eQQ diff.....   0.071429 	 	        0.1 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.13287 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.2172 
T-test p-value........    0.42588 	 	    0.84253 
KS Bootstrap p-value..       0.62 	 	      0.686 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	    0.18182 
std mean diff.........     14.046 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.028409 	 	          0 
med  eCDF diff........   0.028409 	 	          0 
max  eCDF diff........   0.056818 	 	          0 

var ratio (Tr/Co).....     1.4338 	 	          1 
T-test p-value........    0.69025 	 	          1 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	     -3.097 
std mean diff.........    -36.363 	 	     -21.45 

mean raw eQQ diff.....    0.77867 	 	     0.8311 
med  raw eQQ diff.....   0.086413 	 	    0.76048 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........   0.092803 	 	    0.10909 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.45455 

var ratio (Tr/Co).....    0.88456 	 	     1.3502 
T-test p-value........    0.33901 	 	    0.46963 
KS Bootstrap p-value..      0.117 	 	      0.124 
KS Naive p-value......    0.28279 	 	    0.20584 
KS Statistic..........    0.35985 	 	    0.45455 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     31.153 
std mean diff.........    -17.032 	 	     15.573 

mean raw eQQ diff.....     4.2007 	 	     5.9569 
med  raw eQQ diff.....     3.8333 	 	     4.0455 
max  raw eQQ diff.....     13.667 	 	     15.571 

mean eCDF diff........   0.064749 	 	    0.11515 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....     1.0593 	 	      1.589 
T-test p-value........    0.64236 	 	    0.54835 
KS Bootstrap p-value..      0.709 	 	      0.669 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.18182 
std mean diff.........     6.0062 	 	     36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.090909 
med  eCDF diff........   0.015152 	 	   0.090909 
max  eCDF diff........   0.030303 	 	    0.18182 

var ratio (Tr/Co).....     1.0977 	 	     1.5556 
T-test p-value........    0.86892 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     14.636 
std mean diff.........     -13.57 	 	     5.1189 

mean raw eQQ diff.....          3 	 	     2.5455 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.067149 	 	   0.076923 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	     1.1198 
T-test p-value........    0.70823 	 	    0.64179 
KS Bootstrap p-value..      0.814 	 	      0.969 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.90909 
std mean diff.........     204.78 	 	          0 

mean raw eQQ diff.....    0.63636 	 	          0 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........    0.30871 	 	          0 
med  eCDF diff........    0.30871 	 	          0 
max  eCDF diff........    0.61742 	 	          0 

var ratio (Tr/Co).....     0.4217 	 	          1 
T-test p-value........ 5.9128e-05 	 	          1 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.068318 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.40043 
std mean diff.........     99.051 	 	     49.849 

mean raw eQQ diff.....    0.35288 	 	    0.17993 
med  raw eQQ diff.....    0.33333 	 	   0.095238 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	     0.1157 
med  eCDF diff........    0.36742 	 	   0.090909 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     2.5391 
T-test p-value........  0.0095173 	 	   0.068318 
KS Bootstrap p-value..      0.021 	 	      0.324 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0479 
std mean diff.........    -108.63 	 	    -52.864 

mean raw eQQ diff.....    0.99897 	 	     0.5877 
med  raw eQQ diff.....       0.67 	 	    0.28344 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	   0.072727 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     1.2673 
T-test p-value........   0.011625 	 	   0.088702 
KS Bootstrap p-value..      0.062 	 	      0.722 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	   0.099784 
std mean diff.........     38.264 	 	      54.22 

mean raw eQQ diff.....    0.15372 	 	    0.21328 
med  raw eQQ diff.....   0.076923 	 	    0.13182 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.23636 
med  eCDF diff........    0.12879 	 	    0.22727 
max  eCDF diff........    0.23106 	 	    0.45455 

var ratio (Tr/Co).....     3.4983 	 	     4.5401 
T-test p-value........    0.25457 	 	    0.17175 
KS Bootstrap p-value..      0.541 	 	      0.132 
KS Naive p-value......    0.81545 	 	    0.20584 
KS Statistic..........    0.23106 	 	    0.45455 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3949 
std mean diff.........     44.666 	 	    -1.0031 

mean raw eQQ diff.....    0.13335 	 	    0.11264 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.12727 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.4043 
T-test p-value........    0.21825 	 	    0.96444 
KS Bootstrap p-value..      0.032 	 	      0.706 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	      2.448 
std mean diff.........    -79.734 	 	     7.8102 

mean raw eQQ diff.....    0.69677 	 	     0.4782 
med  raw eQQ diff.....    0.50644 	 	    0.51605 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.19886 
med  eCDF diff........    0.15152 	 	    0.22727 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.40018 
T-test p-value........     0.1311 	 	    0.87353 
KS Bootstrap p-value..      0.248 	 	      0.143 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.23166 
std mean diff.........     28.261 	 	     5.3077 

mean raw eQQ diff.....   0.068213 	 	   0.096846 
med  raw eQQ diff.....   0.071429 	 	        0.1 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.13287 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.2172 
T-test p-value........    0.42588 	 	    0.84253 
KS Bootstrap p-value..      0.626 	 	      0.683 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.068318 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                              
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff     z            
vars                                                                                                 
ForceUS.prop.prev5             0.40043  0.58036  0.17993          0.10344  0.59712  1.73940  .       
ave.log.duration.prev5         2.04794  1.49273  -0.55521         0.33871  -0.55893 -1.63920         
ave.outcome.prev5              0.09978  0.31307  0.21328          0.15851  0.69414  1.34551          
ForceUS.prop.prev10            0.39490  0.39261  -0.00229         0.05018  -0.01084 -0.04570         
ave.log.duration.prev10        2.44798  2.48823  0.04024          0.24673  0.05905  0.16311          
ave.outcome.prev10             0.23166  0.24229  0.01063          0.05224  0.05562  0.20350          
---Overall Test---
      chisquare df p.value
strat       4.2  6    0.65
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      7 
$p.values
ForceUS     NPC 
  0.909   0.909 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
  0.1313886 -14.0552073   0.1369335 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1941059  6.5314519  0.2213953 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 8.4745661  0.2424106  8.5212150 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.3051309  0.1740649  1.3322237 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs FALSE ***


Tue Apr 28 00:30:19 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.388813e-02  4.996636e-02  9.009005e-02  9.314158e-02  1.730998e-01  1.730998e-01  1.883426e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.190508e-01  3.304736e-01  4.331145e-01  4.359592e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.174723e-01  5.396520e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.575022e-01  6.639788e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.118857e-01  8.518471e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      1 	6.073334e-02  7.379110e-02  9.009005e-02  9.009005e-02  1.177277e-01  1.471671e-01  1.490070e-01  1.490070e-01  1.975223e-01  2.011625e-01  2.058362e-01  2.496580e-01  2.523412e-01  2.708597e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.653434e-01  3.881805e-01  4.064310e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.092604e-01  5.706690e-01  5.706690e-01  6.775988e-01  7.944303e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

      4 	7.379110e-02  7.974334e-02  9.009005e-02  9.009005e-02  9.879530e-02  1.116908e-01  1.402890e-01  1.490070e-01  1.490070e-01  2.011625e-01  2.058362e-01  2.425671e-01  2.573693e-01  2.761611e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.810018e-01  3.871723e-01  4.167453e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.633641e-01  5.706690e-01  5.706690e-01  6.807893e-01  7.944303e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.379110e-02  7.974334e-02  9.009005e-02  9.009005e-02  9.879530e-02  1.116908e-01  1.402890e-01  1.490070e-01  1.490070e-01  2.011625e-01  2.058362e-01  2.425671e-01  2.573693e-01  2.761611e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.810018e-01  3.871723e-01  4.167453e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.633641e-01  5.706690e-01  5.706690e-01  6.807893e-01  7.944303e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	2.314739e+02
 X[ 2] :	1.828617e+02
 X[ 3] :	6.788854e+02
 X[ 4] :	4.258671e+02
 X[ 5] :	1.932747e+02
 X[ 6] :	2.206493e+02
 X[ 7] :	7.345418e+02
 X[ 8] :	3.814647e+02
 X[ 9] :	5.985097e+02
 X[10] :	9.144287e+02
 X[11] :	2.103293e+02
 X[12] :	4.039815e+02
 X[13] :	6.311986e+02
 X[14] :	9.623747e+01
 X[15] :	2.521142e+02
 X[16] :	5.400212e+02
 X[17] :	9.119065e+02
 X[18] :	7.787116e+01
 X[19] :	7.185647e+02
 X[20] :	2.040848e+01
 X[21] :	8.303719e+02
 X[22] :	9.526041e+02

Solution Found Generation 4
Number of Generations Run 15

Tue Apr 28 01:05:20 2015
Total run time : 0 hours 35 minutes and 1 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Van Buren         4          4
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4  Roosevelt, T.         9          7
4        Tyler         2          2       Buchanan         6          5
5         Polk         1          1        Harding         1          1
6  Johnson, A.         5          5      Cleveland         9          6
7       Wilson        15         13  Roosevelt, F.        10          8
8       Truman         6          4        Kennedy         9          3
9  Johnson, L.        22         15          Obama         4          3
10      Carter         9          7       McKinley         3          1
11     Clinton        24         10 Bush, G. H. W.         8          5

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1914.5 
std mean diff.........    -36.476 	 	     -34.48 

mean raw eQQ diff.....     23.091 	 	     26.364 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         52 

mean eCDF diff........    0.14069 	 	    0.13636 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	      1.603 
T-test p-value........     0.2987 	 	   0.079743 
KS Bootstrap p-value..      0.089 	 	      0.441 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     2.1967 
std mean diff.........    -24.175 	 	    -39.395 

mean raw eQQ diff.....    0.28279 	 	     0.5518 
med  raw eQQ diff.....   0.068993 	 	    0.37469 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.081349 	 	    0.11515 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.36364 

var ratio (Tr/Co).....     1.6262 	 	     1.6729 
T-test p-value........     0.4891 	 	    0.38717 
KS Bootstrap p-value..      0.546 	 	      0.373 
KS Naive p-value......     0.7504 	 	    0.46107 
KS Statistic..........    0.24621 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.9091 
std mean diff.........    -30.276 	 	    -40.026 

mean raw eQQ diff.....     2.1818 	 	     2.5455 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          9 

mean eCDF diff........     0.1096 	 	    0.12587 
med  eCDF diff........    0.11742 	 	    0.18182 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.81687 
T-test p-value........    0.42299 	 	    0.25737 
KS Bootstrap p-value..      0.575 	 	      0.712 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.3936 
std mean diff.........     20.622 	 	     9.8091 

mean raw eQQ diff.....     1.3301 	 	     1.1248 
med  raw eQQ diff.....     1.0732 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.10795 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	    0.18182 

var ratio (Tr/Co).....    0.92773 	 	    0.60376 
T-test p-value........    0.58194 	 	    0.79443 
KS Bootstrap p-value..      0.673 	 	      0.967 
KS Naive p-value......    0.91051 	 	    0.99336 
KS Statistic..........    0.20455 	 	    0.18182 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.34087 
std mean diff.........     99.051 	 	      66.35 

mean raw eQQ diff.....    0.35288 	 	    0.23949 
med  raw eQQ diff.....    0.33333 	 	        0.2 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	     0.2197 
med  eCDF diff........    0.36742 	 	    0.22727 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.5649 
T-test p-value........  0.0095173 	 	   0.073791 
KS Bootstrap p-value..      0.015 	 	      0.359 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	       2.42 
std mean diff.........    -108.63 	 	    -88.292 

mean raw eQQ diff.....    0.99897 	 	     0.9273 
med  raw eQQ diff.....       0.67 	 	    0.99257 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	    0.13636 
med  eCDF diff........     0.2197 	 	    0.13636 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.63755 
T-test p-value........   0.011625 	 	    0.11169 
KS Bootstrap p-value..      0.074 	 	      0.766 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	     0.2061 
std mean diff.........     38.264 	 	     27.193 

mean raw eQQ diff.....    0.15372 	 	    0.11606 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.097403 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.4415 
T-test p-value........    0.25457 	 	    0.14029 
KS Bootstrap p-value..      0.522 	 	      0.963 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.31234 
std mean diff.........     44.666 	 	     35.108 

mean raw eQQ diff.....    0.13335 	 	   0.098453 
med  raw eQQ diff.....      0.125 	 	   0.076923 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	    0.14354 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.334 	 	     1.3568 
T-test p-value........    0.21825 	 	      0.381 
KS Bootstrap p-value..      0.027 	 	       0.19 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6743 
std mean diff.........    -79.734 	 	    -36.106 

mean raw eQQ diff.....    0.69677 	 	    0.52743 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.16883 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.27957 
T-test p-value........     0.1311 	 	    0.56336 
KS Bootstrap p-value..       0.24 	 	      0.396 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19234 
std mean diff.........     28.261 	 	     24.937 

mean raw eQQ diff.....   0.068213 	 	   0.065103 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	      1.404 
T-test p-value........    0.42588 	 	   0.098795 
KS Bootstrap p-value..       0.62 	 	      0.753 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	   0.090909 
std mean diff.........     14.046 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	        1.8 
T-test p-value........    0.69025 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	     -2.566 
std mean diff.........    -36.363 	 	    -43.952 

mean raw eQQ diff.....    0.77867 	 	     1.0372 
med  raw eQQ diff.....   0.086413 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........   0.092803 	 	        0.1 
med  eCDF diff........   0.051136 	 	   0.045455 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.88456 	 	    0.91855 
T-test p-value........    0.33901 	 	    0.24257 
KS Bootstrap p-value..      0.117 	 	      0.309 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     31.993 
std mean diff.........    -17.032 	 	     11.301 

mean raw eQQ diff.....     4.2007 	 	     4.2973 
med  raw eQQ diff.....     3.8333 	 	     3.0065 
max  raw eQQ diff.....     13.667 	 	     15.571 

mean eCDF diff........   0.064749 	 	   0.077273 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.18182 

var ratio (Tr/Co).....     1.0593 	 	     1.5766 
T-test p-value........    0.64236 	 	    0.68079 
KS Bootstrap p-value..      0.709 	 	      0.972 
KS Naive p-value......    0.85977 	 	    0.99336 
KS Statistic..........     0.2197 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     18.091 
std mean diff.........     -13.57 	 	    -19.196 

mean raw eQQ diff.....          3 	 	     3.2727 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	          9 

mean eCDF diff........   0.067149 	 	   0.069519 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	    0.85716 
T-test p-value........    0.70823 	 	    0.41675 
KS Bootstrap p-value..      0.814 	 	       0.98 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.54545 
std mean diff.........     204.78 	 	      120.6 

mean raw eQQ diff.....    0.63636 	 	    0.36364 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.30871 	 	    0.18182 
med  eCDF diff........    0.30871 	 	    0.18182 
max  eCDF diff........    0.61742 	 	    0.36364 

var ratio (Tr/Co).....     0.4217 	 	    0.33333 
T-test p-value........ 5.9128e-05 	 	    0.09009 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.33533 	 	    0.34616 
std mean diff.........     28.874 	 	     27.555 

mean raw eQQ diff.....    0.26611 	 	    0.26511 
med  raw eQQ diff.....    0.10513 	 	   0.059743 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.099669 	 	   0.095238 
med  eCDF diff........   0.096591 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.27273 

var ratio (Tr/Co).....     14.377 	 	     14.311 
T-test p-value........    0.36673 	 	    0.27616 
KS Bootstrap p-value..      0.613 	 	      0.776 
KS Naive p-value......    0.78361 	 	    0.80792 
KS Statistic..........    0.23864 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.55208 	 	    0.77273 
std mean diff.........     38.486 	 	    -26.968 

mean raw eQQ diff.....    0.15909 	 	   0.090909 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.10833 	 	   0.072727 
med  eCDF diff........    0.15152 	 	          0 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....    0.67494 	 	    0.86957 
T-test p-value........    0.33464 	 	    0.20116 
KS Bootstrap p-value..      0.452 	 	      0.483 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.073791 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.34087 
std mean diff.........     99.051 	 	      66.35 

mean raw eQQ diff.....    0.35288 	 	    0.23949 
med  raw eQQ diff.....    0.33333 	 	        0.2 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	     0.2197 
med  eCDF diff........    0.36742 	 	    0.22727 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.5649 
T-test p-value........  0.0095173 	 	   0.073791 
KS Bootstrap p-value..      0.021 	 	      0.353 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	       2.42 
std mean diff.........    -108.63 	 	    -88.292 

mean raw eQQ diff.....    0.99897 	 	     0.9273 
med  raw eQQ diff.....       0.67 	 	    0.99257 
max  raw eQQ diff.....     2.3128 	 	     2.1977 

mean eCDF diff........    0.23153 	 	    0.13636 
med  eCDF diff........     0.2197 	 	    0.13636 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.63755 
T-test p-value........   0.011625 	 	    0.11169 
KS Bootstrap p-value..      0.062 	 	       0.74 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	     0.2061 
std mean diff.........     38.264 	 	     27.193 

mean raw eQQ diff.....    0.15372 	 	    0.11606 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.097403 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.4415 
T-test p-value........    0.25457 	 	    0.14029 
KS Bootstrap p-value..      0.541 	 	       0.94 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.31234 
std mean diff.........     44.666 	 	     35.108 

mean raw eQQ diff.....    0.13335 	 	   0.098453 
med  raw eQQ diff.....      0.125 	 	   0.076923 
max  raw eQQ diff.....        0.3 	 	        0.3 

mean eCDF diff........    0.17898 	 	    0.14354 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.45455 

var ratio (Tr/Co).....      1.334 	 	     1.3568 
T-test p-value........    0.21825 	 	      0.381 
KS Bootstrap p-value..      0.032 	 	      0.169 
KS Naive p-value......   0.051567 	 	    0.20584 
KS Statistic..........    0.49242 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6743 
std mean diff.........    -79.734 	 	    -36.106 

mean raw eQQ diff.....    0.69677 	 	    0.52743 
med  raw eQQ diff.....    0.50644 	 	    0.36115 
max  raw eQQ diff.....     1.8581 	 	     1.5333 

mean eCDF diff........    0.15085 	 	    0.16883 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.27957 
T-test p-value........     0.1311 	 	    0.56336 
KS Bootstrap p-value..      0.248 	 	      0.401 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19234 
std mean diff.........     28.261 	 	     24.937 

mean raw eQQ diff.....   0.068213 	 	   0.065103 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10227 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	      1.404 
T-test p-value........    0.42588 	 	   0.098795 
KS Bootstrap p-value..      0.626 	 	      0.712 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.073791 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3409   0.5804   0.2395           0.1400   0.7329  1.7106  .      
ave.log.duration.prev5          2.4200   1.4927   -0.9273          0.6006   -0.7791 -1.5439        
ave.outcome.prev5               0.2061   0.3131   0.1070           0.0742   0.3239  1.4424         
ForceUS.prop.prev10             0.3123   0.3926   0.0803           0.0909   0.3767  0.8833         
ave.log.duration.prev10         2.6743   2.4882   -0.1860          0.3163   -0.2387 -0.5882        
ave.outcome.prev10              0.1923   0.2423   0.0500           0.0313   0.2695  1.5955         
---Overall Test---
      chisquare df p.value
strat      4.92  6   0.554
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     19 
$p.values
ForceUS     NPC 
  0.296   0.296 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.18157263 29.39945978  0.09243697 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1894522 30.4396770  0.1256161 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 10.621999   1.096630   5.372449 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5163926  0.7796864  0.9990205 

Closed Testing
Intersection 1 of 7 

*** bilateral inTerm.covs TRUE ***


Tue Apr 28 03:12:24 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.769275e-02  4.868662e-02  4.886578e-02  5.202251e-02  6.406855e-02  1.190555e-01  1.490070e-01  1.490070e-01  1.538791e-01  1.910929e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.551374e-01  4.423312e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.729696e-01  5.266574e-01  5.408699e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.084568e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.748506e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.476467e-02  5.679770e-02  6.103978e-02  1.148415e-01  1.406578e-01  1.490070e-01  1.490070e-01  1.714488e-01  2.058362e-01  2.058362e-01  2.764641e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.487030e-01  4.414654e-01  4.551916e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.125855e-01  5.266513e-01  5.706690e-01  5.706690e-01  7.011340e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.080100e-01  9.127342e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
5.476467e-02  5.679770e-02  6.103978e-02  1.148415e-01  1.406578e-01  1.490070e-01  1.490070e-01  1.714488e-01  2.058362e-01  2.058362e-01  2.764641e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.487030e-01  4.414654e-01  4.551916e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.125855e-01  5.266513e-01  5.706690e-01  5.706690e-01  7.011340e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.080100e-01  9.127342e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.994192e+02
 X[ 2] :	7.797853e+02
 X[ 3] :	1.651554e+02
 X[ 4] :	6.359699e+02
 X[ 5] :	1.083531e+02
 X[ 6] :	7.013830e+02
 X[ 7] :	2.927733e+02
 X[ 8] :	3.171525e+02
 X[ 9] :	7.447767e+02
 X[10] :	4.445653e+02
 X[11] :	2.821516e+02
 X[12] :	1.597843e+02
 X[13] :	6.773189e+02
 X[14] :	5.401154e+01
 X[15] :	5.172709e+02
 X[16] :	3.816501e+02
 X[17] :	3.531675e+02
 X[18] :	1.924580e+02
 X[19] :	8.352391e+02
 X[20] :	6.178976e+02
 X[21] :	8.867371e+02
 X[22] :	2.122058e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 28 03:48:17 2015
Total run time : 0 hours 35 minutes and 53 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Arthur         2          1
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Fillmore         3          3
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13      Buchanan         6          5
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7         Obama         4          3
11     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.45455 
std mean diff.........    -24.661 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.064394 	 	          0 
med  eCDF diff........   0.064394 	 	          0 
max  eCDF diff........    0.12879 	 	          0 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1918.2 
std mean diff.........    -36.476 	 	    -39.876 

mean raw eQQ diff.....     23.091 	 	     27.545 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         46 

mean eCDF diff........    0.14069 	 	    0.15455 
med  eCDF diff........   0.087121 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.0222 
T-test p-value........     0.2987 	 	   0.054765 
KS Bootstrap p-value..      0.089 	 	      0.408 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.7267 
std mean diff.........    -24.175 	 	    -3.9651 

mean raw eQQ diff.....    0.28279 	 	     0.1699 
med  raw eQQ diff.....   0.068993 	 	   0.064539 
max  raw eQQ diff.....     1.0986 	 	    0.58779 

mean eCDF diff........   0.081349 	 	   0.062937 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.18182 

var ratio (Tr/Co).....     1.6262 	 	     1.1038 
T-test p-value........     0.4891 	 	    0.91273 
KS Bootstrap p-value..      0.546 	 	      0.952 
KS Naive p-value......     0.7504 	 	    0.99336 
KS Statistic..........    0.24621 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.1818 
std mean diff.........    -30.276 	 	     -27.71 

mean raw eQQ diff.....     2.1818 	 	          2 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          7 

mean eCDF diff........     0.1096 	 	     0.1049 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.86396 
T-test p-value........    0.42299 	 	    0.14066 
KS Bootstrap p-value..      0.575 	 	      0.701 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	      4.628 
std mean diff.........     20.622 	 	      41.47 

mean raw eQQ diff.....     1.3301 	 	     1.8904 
med  raw eQQ diff.....     1.0732 	 	     1.7112 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.22424 
med  eCDF diff........   0.089015 	 	    0.18182 
max  eCDF diff........    0.20455 	 	    0.45455 

var ratio (Tr/Co).....    0.92773 	 	    0.53362 
T-test p-value........    0.58194 	 	     0.3487 
KS Bootstrap p-value..      0.673 	 	      0.165 
KS Naive p-value......    0.91051 	 	    0.20584 
KS Statistic..........    0.20455 	 	    0.45455 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.30628 
std mean diff.........     99.051 	 	     75.934 

mean raw eQQ diff.....    0.35288 	 	    0.27409 
med  raw eQQ diff.....    0.33333 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.24793 
med  eCDF diff........    0.36742 	 	    0.27273 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	      1.382 
T-test p-value........  0.0095173 	 	   0.056798 
KS Bootstrap p-value..      0.015 	 	      0.354 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.1948 
std mean diff.........    -108.63 	 	     -66.85 

mean raw eQQ diff.....    0.99897 	 	     0.7021 
med  raw eQQ diff.....       0.67 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.23153 	 	   0.085561 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.53814 
T-test p-value........   0.011625 	 	    0.06104 
KS Bootstrap p-value..      0.074 	 	       0.73 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.15931 
std mean diff.........     38.264 	 	     39.088 

mean raw eQQ diff.....    0.15372 	 	    0.16285 
med  raw eQQ diff.....   0.076923 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.12397 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	     4.4224 
T-test p-value........    0.25457 	 	    0.11484 
KS Bootstrap p-value..      0.522 	 	      0.656 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.33682 
std mean diff.........     44.666 	 	     24.399 

mean raw eQQ diff.....    0.13335 	 	   0.097991 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.17898 	 	    0.12299 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.3302 
T-test p-value........    0.21825 	 	    0.44147 
KS Bootstrap p-value..      0.027 	 	      0.378 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6542 
std mean diff.........    -79.734 	 	    -32.206 

mean raw eQQ diff.....    0.69677 	 	    0.54262 
med  raw eQQ diff.....    0.50644 	 	    0.50132 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15085 	 	    0.17225 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.27584 
T-test p-value........     0.1311 	 	    0.52665 
KS Bootstrap p-value..       0.24 	 	      0.153 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.17787 
std mean diff.........     28.261 	 	      32.16 

mean raw eQQ diff.....   0.068213 	 	   0.086065 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.13287 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4796 
T-test p-value........    0.42588 	 	    0.17145 
KS Bootstrap p-value..       0.62 	 	      0.712 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	    0.27273 
std mean diff.........     14.046 	 	    -22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	       0.75 
T-test p-value........    0.69025 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	    -2.9625 
std mean diff.........    -36.363 	 	    -27.152 

mean raw eQQ diff.....    0.77867 	 	     1.3152 
med  raw eQQ diff.....   0.086413 	 	    0.76048 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........   0.092803 	 	    0.12727 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.88456 	 	    0.70688 
T-test p-value........    0.33901 	 	    0.45519 
KS Bootstrap p-value..      0.117 	 	      0.321 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     34.654 
std mean diff.........    -17.032 	 	    -2.2353 

mean raw eQQ diff.....     4.2007 	 	     6.5433 
med  raw eQQ diff.....     3.8333 	 	     4.6429 
max  raw eQQ diff.....     13.667 	 	     15.571 

mean eCDF diff........   0.064749 	 	    0.09596 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....     1.0593 	 	     1.9684 
T-test p-value........    0.64236 	 	    0.90801 
KS Bootstrap p-value..      0.709 	 	      0.695 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     17.364 
std mean diff.........     -13.57 	 	    -14.077 

mean raw eQQ diff.....          3 	 	     3.6364 
med  raw eQQ diff.....          3 	 	          1 
max  raw eQQ diff.....          9 	 	         19 

mean eCDF diff........   0.067149 	 	    0.06993 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	    0.96096 
T-test p-value........    0.70823 	 	    0.51259 
KS Bootstrap p-value..      0.814 	 	      0.968 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.72727 
std mean diff.........     204.78 	 	     60.302 

mean raw eQQ diff.....    0.63636 	 	    0.18182 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.30871 	 	   0.090909 
med  eCDF diff........    0.30871 	 	   0.090909 
max  eCDF diff........    0.61742 	 	    0.18182 

var ratio (Tr/Co).....     0.4217 	 	    0.41667 
T-test p-value........ 5.9128e-05 	 	    0.14901 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	   0.090909 
std mean diff.........     16.332 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.024621 	 	          0 
med  eCDF diff........   0.024621 	 	          0 
max  eCDF diff........   0.049242 	 	          0 

var ratio (Tr/Co).....     2.1818 	 	          1 
T-test p-value........    0.62987 	 	          1 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.33533 	 	    0.35519 
std mean diff.........     28.874 	 	     26.456 

mean raw eQQ diff.....    0.26611 	 	    0.24343 
med  raw eQQ diff.....    0.10513 	 	   0.038573 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........   0.099669 	 	   0.065657 
med  eCDF diff........   0.096591 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.18182 

var ratio (Tr/Co).....     14.377 	 	     8.0523 
T-test p-value........    0.36673 	 	    0.27646 
KS Bootstrap p-value..      0.613 	 	      0.976 
KS Naive p-value......    0.78361 	 	    0.99336 
KS Statistic..........    0.23864 	 	    0.18182 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.55208 	 	    0.72727 
std mean diff.........     38.486 	 	    -13.484 

mean raw eQQ diff.....    0.15909 	 	   0.045455 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.10833 	 	   0.036364 
med  eCDF diff........    0.15152 	 	          0 
max  eCDF diff........     0.2197 	 	    0.18182 

var ratio (Tr/Co).....    0.67494 	 	    0.86957 
T-test p-value........    0.33464 	 	    0.70113 
KS Bootstrap p-value..      0.452 	 	      0.836 
KS Naive p-value......    0.85977 	 	    0.99336 
KS Statistic..........     0.2197 	 	    0.18182 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.054765 
Variable Name(s): TermStartYear  Number(s): 3 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.30628 
std mean diff.........     99.051 	 	     75.934 

mean raw eQQ diff.....    0.35288 	 	    0.27409 
med  raw eQQ diff.....    0.33333 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.24793 
med  eCDF diff........    0.36742 	 	    0.27273 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	      1.382 
T-test p-value........  0.0095173 	 	   0.056798 
KS Bootstrap p-value..      0.021 	 	       0.37 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.1948 
std mean diff.........    -108.63 	 	     -66.85 

mean raw eQQ diff.....    0.99897 	 	     0.7021 
med  raw eQQ diff.....       0.67 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.23153 	 	   0.085561 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	    0.53814 
T-test p-value........   0.011625 	 	    0.06104 
KS Bootstrap p-value..      0.062 	 	      0.716 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.15931 
std mean diff.........     38.264 	 	     39.088 

mean raw eQQ diff.....    0.15372 	 	    0.16285 
med  raw eQQ diff.....   0.076923 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	    0.66667 

mean eCDF diff........    0.10885 	 	    0.12397 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	     4.4224 
T-test p-value........    0.25457 	 	    0.11484 
KS Bootstrap p-value..      0.541 	 	      0.627 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.33682 
std mean diff.........     44.666 	 	     24.399 

mean raw eQQ diff.....    0.13335 	 	   0.097991 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.33333 

mean eCDF diff........    0.17898 	 	    0.12299 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     1.3302 
T-test p-value........    0.21825 	 	    0.44147 
KS Bootstrap p-value..      0.032 	 	      0.391 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6542 
std mean diff.........    -79.734 	 	    -32.206 

mean raw eQQ diff.....    0.69677 	 	    0.54262 
med  raw eQQ diff.....    0.50644 	 	    0.50132 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15085 	 	    0.17225 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.27584 
T-test p-value........     0.1311 	 	    0.52665 
KS Bootstrap p-value..      0.248 	 	      0.161 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.17787 
std mean diff.........     28.261 	 	      32.16 

mean raw eQQ diff.....   0.068213 	 	   0.086065 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.13287 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.4796 
T-test p-value........    0.42588 	 	    0.17145 
KS Bootstrap p-value..      0.626 	 	      0.706 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.056798 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3063   0.5804   0.2741           0.1518   0.8180  1.8057  .      
ave.log.duration.prev5          2.1948   1.4927   -0.7021          0.3944   -0.5592 -1.7803 .      
ave.outcome.prev5               0.1593   0.3131   0.1538           0.1004   0.4992  1.5319         
ForceUS.prop.prev10             0.3368   0.3926   0.0558           0.0716   0.2607  0.7791         
ave.log.duration.prev10         2.6542   2.4882   -0.1660          0.2579   -0.2118 -0.6435        
ave.outcome.prev10              0.1779   0.2423   0.0644           0.0478   0.3513  1.3464         
---Overall Test---
      chisquare df p.value
strat      8.17  6   0.226
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     23 
$p.values
ForceUS     NPC 
  0.302   0.302 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2042484 32.7826797  0.1686275 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2691059 46.5556943  0.2554862 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 11.540033   1.349548   9.047386 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7488556  0.7385372  1.6579871 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs FALSE ***


Tue Apr 28 06:01:00 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.251388e-02  6.872873e-02  7.348197e-02  8.309235e-02  9.009005e-02  9.009005e-02  1.251455e-01  1.377176e-01  2.058362e-01  2.058362e-01  2.058362e-01  2.288095e-01  2.385369e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.225525e-01  4.192428e-01  4.192428e-01  4.260720e-01  4.610718e-01  4.791504e-01  4.851465e-01  5.633471e-01  5.706690e-01  5.706690e-01  6.107923e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.216801e-01  9.881961e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.107540e-02  7.569475e-02  8.251805e-02  9.009005e-02  9.009005e-02  1.080575e-01  1.122914e-01  1.266481e-01  1.490070e-01  1.490070e-01  2.092501e-01  3.031899e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.238944e-01  4.192428e-01  4.192428e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.479681e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.607779e-01  7.467876e-01  7.595078e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.447931e-01  8.922145e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      2 	6.328346e-02  7.541178e-02  9.009005e-02  9.009005e-02  1.004792e-01  1.527899e-01  1.822786e-01  2.923754e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.192428e-01  4.192428e-01  4.219321e-01  4.300337e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.264375e-01  5.706690e-01  5.706690e-01  6.061985e-01  6.592407e-01  6.924610e-01  6.929439e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.250187e-01  9.767582e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
6.328346e-02  7.541178e-02  9.009005e-02  9.009005e-02  1.004792e-01  1.527899e-01  1.822786e-01  2.923754e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.192428e-01  4.192428e-01  4.219321e-01  4.300337e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.264375e-01  5.706690e-01  5.706690e-01  6.061985e-01  6.592407e-01  6.924610e-01  6.929439e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.250187e-01  9.767582e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.163416e+02
 X[ 2] :	7.478568e+01
 X[ 3] :	5.160782e+02
 X[ 4] :	9.413730e+02
 X[ 5] :	9.474056e+02
 X[ 6] :	4.104877e+02
 X[ 7] :	4.768675e+02
 X[ 8] :	6.722642e+01
 X[ 9] :	9.056590e+02
 X[10] :	1.513669e+02
 X[11] :	2.169828e+02
 X[12] :	8.080899e+02
 X[13] :	2.587755e+01
 X[14] :	9.969026e+02
 X[15] :	3.422388e+02
 X[16] :	7.866797e+00
 X[17] :	8.905001e+02
 X[18] :	2.242440e+02
 X[19] :	2.190127e+02
 X[20] :	2.643873e+02
 X[21] :	4.948065e+01
 X[22] :	9.678287e+02
 X[23] :	5.048833e+02
 X[24] :	3.576695e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 28 06:36:24 2015
Total run time : 0 hours 35 minutes and 24 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Grant         7          6
2       Monroe         6          6        Arthur         2          1
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5          Ford         4          4
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7 Roosevelt, T.         9          7
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.54545 
std mean diff.........    -24.661 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.045455 
med  eCDF diff........   0.064394 	 	   0.045455 
max  eCDF diff........    0.12879 	 	   0.090909 

var ratio (Tr/Co).....     1.0753 	 	          1 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1918.9 
std mean diff.........    -36.476 	 	    -40.928 

mean raw eQQ diff.....     23.091 	 	     28.273 
med  raw eQQ diff.....         28 	 	         28 
max  raw eQQ diff.....         44 	 	         40 

mean eCDF diff........    0.14069 	 	    0.14463 
med  eCDF diff........   0.087121 	 	   0.090909 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.3329 
T-test p-value........     0.2987 	 	   0.075412 
KS Bootstrap p-value..      0.089 	 	      0.413 
KS Naive p-value......    0.10915 	 	    0.47915 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.36364 
std mean diff.........    -27.028 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.068182 	 	          0 
med  eCDF diff........   0.068182 	 	          0 
max  eCDF diff........    0.13636 	 	          0 

var ratio (Tr/Co).....    0.97576 	 	          1 
T-test p-value........    0.46836 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     2.0339 
std mean diff.........    -24.175 	 	    -27.117 

mean raw eQQ diff.....    0.28279 	 	    0.45973 
med  raw eQQ diff.....   0.068993 	 	    0.29849 
max  raw eQQ diff.....     1.0986 	 	     1.3863 

mean eCDF diff........   0.081349 	 	    0.10303 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.27273 

var ratio (Tr/Co).....     1.6262 	 	     1.7282 
T-test p-value........     0.4891 	 	    0.18228 
KS Bootstrap p-value..      0.546 	 	      0.701 
KS Naive p-value......     0.7504 	 	    0.80792 
KS Statistic..........    0.24621 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.6364 
std mean diff.........    -30.276 	 	    -35.407 

mean raw eQQ diff.....     2.1818 	 	     2.4545 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........     0.1096 	 	    0.11688 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.82141 
T-test p-value........    0.42299 	 	    0.15279 
KS Bootstrap p-value..      0.575 	 	      0.721 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.6626 
std mean diff.........     20.622 	 	    -1.3175 

mean raw eQQ diff.....     1.3301 	 	     0.8557 
med  raw eQQ diff.....     1.0732 	 	    0.54757 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.10227 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	    0.27273 

var ratio (Tr/Co).....    0.92773 	 	    0.56372 
T-test p-value........    0.58194 	 	    0.97676 
KS Bootstrap p-value..      0.673 	 	       0.69 
KS Naive p-value......    0.91051 	 	    0.80792 
KS Statistic..........    0.20455 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.27884 
std mean diff.........     99.051 	 	     83.534 

mean raw eQQ diff.....    0.35288 	 	    0.30152 
med  raw eQQ diff.....    0.33333 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.35383 	 	    0.25175 
med  eCDF diff........    0.36742 	 	    0.27273 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	      2.367 
T-test p-value........  0.0095173 	 	   0.063283 
KS Bootstrap p-value..      0.015 	 	      0.372 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0717 
std mean diff.........    -108.63 	 	    -55.131 

mean raw eQQ diff.....    0.99897 	 	    0.57902 
med  raw eQQ diff.....       0.67 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.11005 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     0.7993 
T-test p-value........   0.011625 	 	    0.10048 
KS Bootstrap p-value..      0.074 	 	       0.78 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.21929 
std mean diff.........     38.264 	 	      23.84 

mean raw eQQ diff.....    0.15372 	 	    0.11527 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.083916 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.3617 
T-test p-value........    0.25457 	 	    0.42193 
KS Bootstrap p-value..      0.522 	 	      0.958 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.29021 
std mean diff.........     44.666 	 	     44.784 

mean raw eQQ diff.....    0.13335 	 	    0.10706 
med  raw eQQ diff.....      0.125 	 	   0.069231 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.14646 
med  eCDF diff........     0.1572 	 	    0.13636 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     2.1959 
T-test p-value........    0.21825 	 	    0.29238 
KS Bootstrap p-value..      0.027 	 	      0.414 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.5105 
std mean diff.........    -79.734 	 	    -4.3203 

mean raw eQQ diff.....    0.69677 	 	    0.39805 
med  raw eQQ diff.....    0.50644 	 	    0.26413 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.15152 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.43823 
T-test p-value........     0.1311 	 	    0.92502 
KS Bootstrap p-value..       0.24 	 	      0.416 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19576 
std mean diff.........     28.261 	 	     23.227 

mean raw eQQ diff.....   0.068213 	 	   0.068171 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10909 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3769 
T-test p-value........    0.42588 	 	    0.52644 
KS Bootstrap p-value..       0.62 	 	      0.712 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	   0.090909 
std mean diff.........     14.046 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	        1.8 
T-test p-value........    0.69025 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	    -3.1635 
std mean diff.........    -36.363 	 	    -18.632 

mean raw eQQ diff.....    0.77867 	 	    0.99158 
med  raw eQQ diff.....   0.086413 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........   0.092803 	 	    0.10909 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.27273 

var ratio (Tr/Co).....    0.88456 	 	    0.58499 
T-test p-value........    0.33901 	 	    0.65924 
KS Bootstrap p-value..      0.117 	 	      0.645 
KS Naive p-value......    0.28279 	 	    0.80792 
KS Statistic..........    0.35985 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     37.205 
std mean diff.........    -17.032 	 	    -15.211 

mean raw eQQ diff.....     4.2007 	 	     4.8429 
med  raw eQQ diff.....     3.8333 	 	     5.2045 
max  raw eQQ diff.....     13.667 	 	     13.667 

mean eCDF diff........   0.064749 	 	    0.08134 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.27273 

var ratio (Tr/Co).....     1.0593 	 	      1.008 
T-test p-value........    0.64236 	 	    0.69246 
KS Bootstrap p-value..      0.709 	 	      0.742 
KS Naive p-value......    0.85977 	 	    0.80792 
KS Statistic..........     0.2197 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.27273 
std mean diff.........     6.0062 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.045455 
med  eCDF diff........   0.015152 	 	   0.045455 
max  eCDF diff........   0.030303 	 	   0.090909 

var ratio (Tr/Co).....     1.0977 	 	     1.1667 
T-test p-value........    0.86892 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     17.273 
std mean diff.........     -13.57 	 	    -13.437 

mean raw eQQ diff.....          3 	 	     3.7273 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	         16 

mean eCDF diff........   0.067149 	 	   0.079545 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	       1.16 
T-test p-value........    0.70823 	 	     0.6062 
KS Bootstrap p-value..      0.814 	 	      0.973 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.54545 
std mean diff.........     204.78 	 	      120.6 

mean raw eQQ diff.....    0.63636 	 	    0.36364 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.30871 	 	    0.18182 
med  eCDF diff........    0.30871 	 	    0.18182 
max  eCDF diff........    0.61742 	 	    0.36364 

var ratio (Tr/Co).....     0.4217 	 	    0.33333 
T-test p-value........ 5.9128e-05 	 	    0.09009 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.33533 	 	    0.39465 
std mean diff.........     28.874 	 	     21.655 

mean raw eQQ diff.....    0.26611 	 	    0.24115 
med  raw eQQ diff.....    0.10513 	 	    0.05111 
max  raw eQQ diff.....     2.0813 	 	     2.0813 

mean eCDF diff........   0.099669 	 	   0.069264 
med  eCDF diff........   0.096591 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.18182 

var ratio (Tr/Co).....     14.377 	 	     9.8337 
T-test p-value........    0.36673 	 	    0.43003 
KS Bootstrap p-value..      0.613 	 	      0.986 
KS Naive p-value......    0.78361 	 	    0.99336 
KS Statistic..........    0.23864 	 	    0.18182 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.55208 	 	    0.68182 
std mean diff.........     38.486 	 	          0 

mean raw eQQ diff.....    0.15909 	 	   0.045455 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.10833 	 	   0.036364 
med  eCDF diff........    0.15152 	 	          0 
max  eCDF diff........     0.2197 	 	   0.090909 

var ratio (Tr/Co).....    0.67494 	 	     0.9009 
T-test p-value........    0.33464 	 	          1 
KS Bootstrap p-value..      0.452 	 	      0.999 
KS Naive p-value......    0.85977 	 	          1 
KS Statistic..........     0.2197 	 	   0.090909 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.29167 	 	    0.36364 
std mean diff.........     48.597 	 	     34.816 

mean raw eQQ diff.....    0.27273 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.12689 	 	   0.090909 
med  eCDF diff........    0.12689 	 	   0.090909 
max  eCDF diff........    0.25379 	 	    0.18182 

var ratio (Tr/Co).....     1.2651 	 	     1.0714 
T-test p-value........    0.18463 	 	    0.41924 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     8.6364 	 	     8.6364 
mean control..........     8.2917 	 	          8 
std mean diff.........     4.2284 	 	     7.8063 

mean raw eQQ diff.....     2.8182 	 	     2.6364 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....         10 	 	         12 

mean eCDF diff........   0.067235 	 	   0.099174 
med  eCDF diff........   0.060606 	 	   0.090909 
max  eCDF diff........    0.14773 	 	    0.18182 

var ratio (Tr/Co).....    0.94644 	 	     1.8879 
T-test p-value........    0.90951 	 	    0.69294 
KS Bootstrap p-value..      0.916 	 	      0.944 
KS Naive p-value......    0.99656 	 	    0.99336 
KS Statistic..........    0.14773 	 	    0.18182 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.063283 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.27884 
std mean diff.........     99.051 	 	     83.534 

mean raw eQQ diff.....    0.35288 	 	    0.30152 
med  raw eQQ diff.....    0.33333 	 	    0.28571 
max  raw eQQ diff.....    0.73684 	 	    0.63636 

mean eCDF diff........    0.35383 	 	    0.25175 
med  eCDF diff........    0.36742 	 	    0.27273 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	      2.367 
T-test p-value........  0.0095173 	 	   0.063283 
KS Bootstrap p-value..      0.021 	 	      0.371 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0717 
std mean diff.........    -108.63 	 	    -55.131 

mean raw eQQ diff.....    0.99897 	 	    0.57902 
med  raw eQQ diff.....       0.67 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	    0.11005 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     0.7993 
T-test p-value........   0.011625 	 	    0.10048 
KS Bootstrap p-value..      0.062 	 	      0.742 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.21929 
std mean diff.........     38.264 	 	      23.84 

mean raw eQQ diff.....    0.15372 	 	    0.11527 
med  raw eQQ diff.....   0.076923 	 	       0.05 
max  raw eQQ diff.....    0.66667 	 	    0.42857 

mean eCDF diff........    0.10885 	 	   0.083916 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.18182 

var ratio (Tr/Co).....     3.4983 	 	     2.3617 
T-test p-value........    0.25457 	 	    0.42193 
KS Bootstrap p-value..      0.541 	 	      0.947 
KS Naive p-value......    0.81545 	 	    0.99336 
KS Statistic..........    0.23106 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	    0.29021 
std mean diff.........     44.666 	 	     44.784 

mean raw eQQ diff.....    0.13335 	 	    0.10706 
med  raw eQQ diff.....      0.125 	 	   0.069231 
max  raw eQQ diff.....        0.3 	 	        0.4 

mean eCDF diff........    0.17898 	 	    0.14646 
med  eCDF diff........     0.1572 	 	    0.13636 
max  eCDF diff........    0.49242 	 	    0.36364 

var ratio (Tr/Co).....      1.334 	 	     2.1959 
T-test p-value........    0.21825 	 	    0.29238 
KS Bootstrap p-value..      0.032 	 	      0.401 
KS Naive p-value......   0.051567 	 	    0.46107 
KS Statistic..........    0.49242 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.5105 
std mean diff.........    -79.734 	 	    -4.3203 

mean raw eQQ diff.....    0.69677 	 	    0.39805 
med  raw eQQ diff.....    0.50644 	 	    0.26413 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.15152 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.36364 

var ratio (Tr/Co).....    0.23917 	 	    0.43823 
T-test p-value........     0.1311 	 	    0.92502 
KS Bootstrap p-value..      0.248 	 	      0.396 
KS Naive p-value......    0.37173 	 	    0.46107 
KS Statistic..........    0.33333 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.19576 
std mean diff.........     28.261 	 	     23.227 

mean raw eQQ diff.....   0.068213 	 	   0.068171 
med  raw eQQ diff.....   0.071429 	 	   0.069697 
max  raw eQQ diff.....    0.16667 	 	    0.15556 

mean eCDF diff........    0.11093 	 	    0.10909 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3769 
T-test p-value........    0.42588 	 	    0.52644 
KS Bootstrap p-value..      0.626 	 	      0.709 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.063283 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.2788   0.5804   0.3015           0.1706   0.9905  1.7673  .      
ave.log.duration.prev5          2.0717   1.4927   -0.5790          0.3645   -0.5196 -1.5885        
ave.outcome.prev5               0.2193   0.3131   0.0938           0.1155   0.2826  0.8119         
ForceUS.prop.prev10             0.2902   0.3926   0.1024           0.0972   0.5250  1.0539         
ave.log.duration.prev10         2.5105   2.4882   -0.0223          0.2308   -0.0337 -0.0965        
ave.outcome.prev10              0.1958   0.2423   0.0465           0.0723   0.2500  0.6438         
---Overall Test---
      chisquare df p.value
strat      5.59  6   0.471
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      1 
$p.values
ForceUS     NPC 
      1       1 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.08318701 22.20390694  0.13081651 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2167249 42.6851315  0.2119797 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 5.6151229  0.8172032  8.8004829 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.2102990  0.5854747  1.4559079 

Closed Testing
Intersection 1 of 7 

*** bilateral full.covs TRUE ***


Tue Apr 28 08:49:01 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.821048e-02  5.189737e-02  1.215026e-01  1.372637e-01  1.490070e-01  1.490070e-01  1.507152e-01  1.972989e-01  2.322280e-01  2.394656e-01  2.531888e-01  3.189527e-01  3.189527e-01  3.947477e-01  4.007279e-01  4.424203e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.534062e-01  5.556677e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.174111e-01  7.310138e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	5.864258e-02  6.968693e-02  6.968693e-02  8.603827e-02  1.084601e-01  1.160018e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.730998e-01  1.730998e-01  1.982308e-01  2.112220e-01  3.169962e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.206963e-01  4.310035e-01  4.327511e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.386769e-01  6.103246e-01  6.107764e-01  6.318552e-01  6.440326e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.931746e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      2 	6.902628e-02  8.041614e-02  1.052938e-01  1.291496e-01  1.490070e-01  1.490070e-01  1.703270e-01  1.755940e-01  1.774544e-01  2.058362e-01  2.790903e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.613913e-01  3.940739e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.536502e-01  5.556314e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.372680e-01  7.377329e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.372035e-01  9.932268e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      3 	8.716451e-02  1.052938e-01  1.195183e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.656883e-01  2.058362e-01  2.608739e-01  2.654262e-01  3.009615e-01  3.044067e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.215976e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.957880e-01  5.879399e-01  6.180399e-01  7.482914e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.322410e-01  8.842885e-01  9.619191e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
8.716451e-02  1.052938e-01  1.195183e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.490070e-01  1.656883e-01  2.058362e-01  2.608739e-01  2.654262e-01  3.009615e-01  3.044067e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.215976e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.957880e-01  5.879399e-01  6.180399e-01  7.482914e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.322410e-01  8.842885e-01  9.619191e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.098996e+01
 X[ 2] :	4.567812e+02
 X[ 3] :	2.128918e+02
 X[ 4] :	7.695758e+02
 X[ 5] :	9.214103e+02
 X[ 6] :	6.170359e+02
 X[ 7] :	1.652324e+02
 X[ 8] :	5.767432e+02
 X[ 9] :	6.263411e+02
 X[10] :	2.606431e+02
 X[11] :	1.379829e+02
 X[12] :	2.088143e+02
 X[13] :	1.032176e+02
 X[14] :	8.232565e+02
 X[15] :	6.628429e+02
 X[16] :	5.378537e+01
 X[17] :	7.736063e+02
 X[18] :	6.144322e+01
 X[19] :	7.076790e+02
 X[20] :	1.269458e+02
 X[21] :	1.924810e+02
 X[22] :	3.814854e+02
 X[23] :	7.690308e+02
 X[24] :	1.271441e+01

Solution Found Generation 3
Number of Generations Run 14

Tue Apr 28 09:22:29 2015
Total run time : 0 hours 33 minutes and 28 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Obama         4          3
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4 Roosevelt, F.        10          8
4        Tyler         2          2      Coolidge         1          1
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7      Buchanan         6          5
11     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.58333 	 	    0.63636 
std mean diff.........    -24.661 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.064394 	 	   0.090909 
med  eCDF diff........   0.064394 	 	   0.090909 
max  eCDF diff........    0.12879 	 	    0.18182 

var ratio (Tr/Co).....     1.0753 	 	     1.0714 
T-test p-value........    0.50176 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.36364 
std mean diff.........     6.0062 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.015152 	 	          0 
med  eCDF diff........   0.015152 	 	          0 
max  eCDF diff........   0.030303 	 	          0 

var ratio (Tr/Co).....     1.0977 	 	          1 
T-test p-value........    0.86892 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1915.8 	 	     1929.5 
std mean diff.........    -36.476 	 	    -56.326 

mean raw eQQ diff.....     23.091 	 	     38.909 
med  raw eQQ diff.....         28 	 	         40 
max  raw eQQ diff.....         44 	 	         78 

mean eCDF diff........    0.14069 	 	     0.1866 
med  eCDF diff........   0.087121 	 	    0.18182 
max  eCDF diff........    0.41288 	 	    0.36364 

var ratio (Tr/Co).....     1.7227 	 	     1.2089 
T-test p-value........     0.2987 	 	    0.11952 
KS Bootstrap p-value..      0.089 	 	      0.403 
KS Naive p-value......    0.10915 	 	    0.46107 
KS Statistic..........    0.41288 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........        0.5 	 	    0.45455 
std mean diff.........    -27.028 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.068182 	 	   0.045455 
med  eCDF diff........   0.068182 	 	   0.045455 
max  eCDF diff........    0.13636 	 	   0.090909 

var ratio (Tr/Co).....    0.97576 	 	    0.93333 
T-test p-value........    0.46836 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     1.9948 	 	     1.7842 
std mean diff.........    -24.175 	 	    -8.2994 

mean raw eQQ diff.....    0.28279 	 	     0.2274 
med  raw eQQ diff.....   0.068993 	 	    0.09531 
max  raw eQQ diff.....     1.0986 	 	    0.69315 

mean eCDF diff........   0.081349 	 	   0.076923 
med  eCDF diff........   0.056818 	 	   0.090909 
max  eCDF diff........    0.24621 	 	    0.18182 

var ratio (Tr/Co).....     1.6262 	 	     1.1438 
T-test p-value........     0.4891 	 	    0.74829 
KS Bootstrap p-value..      0.546 	 	      0.944 
KS Naive p-value......     0.7504 	 	    0.99336 
KS Statistic..........    0.24621 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     8.3333 	 	     8.3636 
std mean diff.........    -30.276 	 	    -30.789 

mean raw eQQ diff.....     2.1818 	 	     2.1818 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          7 

mean eCDF diff........     0.1096 	 	    0.11888 
med  eCDF diff........    0.11742 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....    0.90188 	 	    0.91639 
T-test p-value........    0.42299 	 	    0.26087 
KS Bootstrap p-value..      0.575 	 	      0.704 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.1321 	 	     5.6815 
std mean diff.........     20.622 	 	    -2.0998 

mean raw eQQ diff.....     1.3301 	 	     1.5835 
med  raw eQQ diff.....     1.0732 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........   0.095902 	 	    0.12338 
med  eCDF diff........   0.089015 	 	   0.090909 
max  eCDF diff........    0.20455 	 	    0.27273 

var ratio (Tr/Co).....    0.92773 	 	    0.39247 
T-test p-value........    0.58194 	 	    0.96192 
KS Bootstrap p-value..      0.673 	 	      0.678 
KS Naive p-value......    0.91051 	 	    0.80792 
KS Statistic..........    0.20455 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.37446 
std mean diff.........     99.051 	 	     57.045 

mean raw eQQ diff.....    0.35288 	 	     0.2059 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15702 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.7495 
T-test p-value........  0.0095173 	 	   0.087165 
KS Bootstrap p-value..      0.015 	 	      0.349 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0249 
std mean diff.........    -108.63 	 	    -50.667 

mean raw eQQ diff.....    0.99897 	 	    0.55377 
med  raw eQQ diff.....       0.67 	 	    0.23652 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	   0.074866 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     1.2893 
T-test p-value........   0.011625 	 	    0.16569 
KS Bootstrap p-value..      0.074 	 	      0.718 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.17446 
std mean diff.........     38.264 	 	     35.236 

mean raw eQQ diff.....    0.15372 	 	     0.1477 
med  raw eQQ diff.....   0.076923 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.10885 	 	    0.12121 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	     3.5723 
T-test p-value........    0.25457 	 	    0.26543 
KS Bootstrap p-value..      0.522 	 	      0.656 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3816 
std mean diff.........     44.666 	 	     4.8156 

mean raw eQQ diff.....    0.13335 	 	   0.097659 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	    0.11765 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.2838 
T-test p-value........    0.21825 	 	    0.88429 
KS Bootstrap p-value..      0.027 	 	      0.723 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6276 
std mean diff.........    -79.734 	 	    -27.053 

mean raw eQQ diff.....    0.69677 	 	    0.54977 
med  raw eQQ diff.....    0.50644 	 	    0.55663 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.17172 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.27947 
T-test p-value........     0.1311 	 	    0.61804 
KS Bootstrap p-value..       0.24 	 	      0.164 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.18034 
std mean diff.........     28.261 	 	     30.926 

mean raw eQQ diff.....   0.068213 	 	   0.077099 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.11039 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3734 
T-test p-value........    0.42588 	 	    0.30441 
KS Bootstrap p-value..       0.62 	 	      0.719 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........      0.125 	 	    0.27273 
std mean diff.........     14.046 	 	    -22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.028409 	 	   0.045455 
med  eCDF diff........   0.028409 	 	   0.045455 
max  eCDF diff........   0.056818 	 	   0.090909 

var ratio (Tr/Co).....     1.4338 	 	       0.75 
T-test p-value........    0.69025 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7451 	 	    -3.1657 
std mean diff.........    -36.363 	 	    -18.541 

mean raw eQQ diff.....    0.77867 	 	      1.112 
med  raw eQQ diff.....   0.086413 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     2.7794 

mean eCDF diff........   0.092803 	 	    0.11818 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........    0.35985 	 	    0.36364 

var ratio (Tr/Co).....    0.88456 	 	    0.84127 
T-test p-value........    0.33901 	 	    0.58794 
KS Bootstrap p-value..      0.117 	 	      0.292 
KS Naive p-value......    0.28279 	 	    0.46107 
KS Statistic..........    0.35985 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     37.563 	 	     33.294 
std mean diff.........    -17.032 	 	     4.6838 

mean raw eQQ diff.....     4.2007 	 	     5.9073 
med  raw eQQ diff.....     3.8333 	 	          4 
max  raw eQQ diff.....     13.667 	 	     15.571 

mean eCDF diff........   0.064749 	 	   0.080214 
med  eCDF diff........   0.051136 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.18182 

var ratio (Tr/Co).....     1.0593 	 	     1.7363 
T-test p-value........    0.64236 	 	    0.83224 
KS Bootstrap p-value..      0.709 	 	      0.974 
KS Naive p-value......    0.85977 	 	    0.99336 
KS Statistic..........     0.2197 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.33333 	 	    0.18182 
std mean diff.........     6.0062 	 	     36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.015152 	 	   0.090909 
med  eCDF diff........   0.015152 	 	   0.090909 
max  eCDF diff........   0.030303 	 	    0.18182 

var ratio (Tr/Co).....     1.0977 	 	     1.5556 
T-test p-value........    0.86892 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........     17.292 	 	     18.545 
std mean diff.........     -13.57 	 	    -22.395 

mean raw eQQ diff.....          3 	 	     4.8182 
med  raw eQQ diff.....          3 	 	          3 
max  raw eQQ diff.....          9 	 	         19 

mean eCDF diff........   0.067149 	 	    0.11039 
med  eCDF diff........   0.058712 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1399 	 	     1.0369 
T-test p-value........    0.70823 	 	    0.49579 
KS Bootstrap p-value..      0.814 	 	      0.966 
KS Naive p-value......    0.96436 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.29167 	 	    0.81818 
std mean diff.........     204.78 	 	     30.151 

mean raw eQQ diff.....    0.63636 	 	   0.090909 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.30871 	 	   0.045455 
med  eCDF diff........    0.30871 	 	   0.045455 
max  eCDF diff........    0.61742 	 	   0.090909 

var ratio (Tr/Co).....     0.4217 	 	    0.55556 
T-test p-value........ 5.9128e-05 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.041667 	 	          0 
std mean diff.........     16.332 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.024621 	 	   0.045455 
med  eCDF diff........   0.024621 	 	   0.045455 
max  eCDF diff........   0.049242 	 	   0.090909 

var ratio (Tr/Co).....     2.1818 	 	        Inf 
T-test p-value........    0.62987 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.33533 	 	    0.31871 
std mean diff.........     28.874 	 	     30.896 

mean raw eQQ diff.....    0.26611 	 	     0.2851 
med  raw eQQ diff.....    0.10513 	 	    0.10174 
max  raw eQQ diff.....     2.0813 	 	     2.1983 

mean eCDF diff........   0.099669 	 	    0.11616 
med  eCDF diff........   0.096591 	 	   0.090909 
max  eCDF diff........    0.23864 	 	    0.27273 

var ratio (Tr/Co).....     14.377 	 	     13.204 
T-test p-value........    0.36673 	 	     0.3216 
KS Bootstrap p-value..      0.613 	 	      0.735 
KS Naive p-value......    0.78361 	 	    0.80792 
KS Statistic..........    0.23864 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.55208 	 	    0.86364 
std mean diff.........     38.486 	 	    -53.936 

mean raw eQQ diff.....    0.15909 	 	    0.18182 
med  raw eQQ diff.....       0.25 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.10833 	 	    0.14545 
med  eCDF diff........    0.15152 	 	   0.090909 
max  eCDF diff........     0.2197 	 	    0.36364 

var ratio (Tr/Co).....    0.67494 	 	     1.6949 
T-test p-value........    0.33464 	 	    0.10529 
KS Bootstrap p-value..      0.452 	 	      0.181 
KS Naive p-value......    0.85977 	 	    0.46107 
KS Statistic..........     0.2197 	 	    0.36364 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.29167 	 	    0.72727 
std mean diff.........     48.597 	 	    -34.816 

mean raw eQQ diff.....    0.27273 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.12689 	 	   0.090909 
med  eCDF diff........    0.12689 	 	   0.090909 
max  eCDF diff........    0.25379 	 	    0.18182 

var ratio (Tr/Co).....     1.2651 	 	       1.25 
T-test p-value........    0.18463 	 	    0.14901 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     8.6364 	 	     8.6364 
mean control..........     8.2917 	 	     6.1818 
std mean diff.........     4.2284 	 	      30.11 

mean raw eQQ diff.....     2.8182 	 	     3.5455 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....         10 	 	         14 

mean eCDF diff........   0.067235 	 	   0.099174 
med  eCDF diff........   0.060606 	 	   0.090909 
max  eCDF diff........    0.14773 	 	    0.27273 

var ratio (Tr/Co).....    0.94644 	 	      7.252 
T-test p-value........    0.90951 	 	    0.30096 
KS Bootstrap p-value..      0.916 	 	      0.614 
KS Naive p-value......    0.99656 	 	    0.80792 
KS Statistic..........    0.14773 	 	    0.27273 


Before Matching Minimum p.value: 5.9128e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.087165 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........    0.22284 	 	    0.37446 
std mean diff.........     99.051 	 	     57.045 

mean raw eQQ diff.....    0.35288 	 	     0.2059 
med  raw eQQ diff.....    0.33333 	 	    0.16667 
max  raw eQQ diff.....    0.73684 	 	        0.5 

mean eCDF diff........    0.35383 	 	    0.15702 
med  eCDF diff........    0.36742 	 	    0.18182 
max  eCDF diff........    0.52652 	 	    0.36364 

var ratio (Tr/Co).....     2.2487 	 	     1.7495 
T-test p-value........  0.0095173 	 	   0.087165 
KS Bootstrap p-value..      0.021 	 	      0.346 
KS Naive p-value......   0.030535 	 	    0.46107 
KS Statistic..........    0.52652 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.6336 	 	     2.0249 
std mean diff.........    -108.63 	 	    -50.667 

mean raw eQQ diff.....    0.99897 	 	    0.55377 
med  raw eQQ diff.....       0.67 	 	    0.23652 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.23153 	 	   0.074866 
med  eCDF diff........     0.2197 	 	   0.090909 
max  eCDF diff........    0.44318 	 	    0.27273 

var ratio (Tr/Co).....    0.61473 	 	     1.2893 
T-test p-value........   0.011625 	 	    0.16569 
KS Bootstrap p-value..      0.062 	 	      0.746 
KS Naive p-value......    0.10331 	 	    0.80792 
KS Statistic..........    0.44318 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.16255 	 	    0.17446 
std mean diff.........     38.264 	 	     35.236 

mean raw eQQ diff.....    0.15372 	 	     0.1477 
med  raw eQQ diff.....   0.076923 	 	   0.083333 
max  raw eQQ diff.....    0.66667 	 	        0.5 

mean eCDF diff........    0.10885 	 	    0.12121 
med  eCDF diff........    0.12879 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     3.4983 	 	     3.5723 
T-test p-value........    0.25457 	 	    0.26543 
KS Bootstrap p-value..      0.541 	 	      0.655 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.29048 	 	     0.3816 
std mean diff.........     44.666 	 	     4.8156 

mean raw eQQ diff.....    0.13335 	 	   0.097659 
med  raw eQQ diff.....      0.125 	 	   0.069444 
max  raw eQQ diff.....        0.3 	 	    0.31579 

mean eCDF diff........    0.17898 	 	    0.11765 
med  eCDF diff........     0.1572 	 	   0.090909 
max  eCDF diff........    0.49242 	 	    0.27273 

var ratio (Tr/Co).....      1.334 	 	     1.2838 
T-test p-value........    0.21825 	 	    0.88429 
KS Bootstrap p-value..      0.032 	 	      0.746 
KS Naive p-value......   0.051567 	 	    0.80792 
KS Statistic..........    0.49242 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8991 	 	     2.6276 
std mean diff.........    -79.734 	 	    -27.053 

mean raw eQQ diff.....    0.69677 	 	    0.54977 
med  raw eQQ diff.....    0.50644 	 	    0.55663 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15085 	 	    0.17172 
med  eCDF diff........    0.15152 	 	    0.18182 
max  eCDF diff........    0.33333 	 	    0.45455 

var ratio (Tr/Co).....    0.23917 	 	    0.27947 
T-test p-value........     0.1311 	 	    0.61804 
KS Bootstrap p-value..      0.248 	 	      0.161 
KS Naive p-value......    0.37173 	 	    0.20584 
KS Statistic..........    0.33333 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.18568 	 	    0.18034 
std mean diff.........     28.261 	 	     30.926 

mean raw eQQ diff.....   0.068213 	 	   0.077099 
med  raw eQQ diff.....   0.071429 	 	   0.083333 
max  raw eQQ diff.....    0.16667 	 	        0.2 

mean eCDF diff........    0.11093 	 	    0.11039 
med  eCDF diff........    0.10985 	 	   0.090909 
max  eCDF diff........    0.23106 	 	    0.27273 

var ratio (Tr/Co).....     1.4385 	 	     1.3734 
T-test p-value........    0.42588 	 	    0.30441 
KS Bootstrap p-value..      0.626 	 	      0.709 
KS Naive p-value......    0.81545 	 	    0.80792 
KS Statistic..........    0.23106 	 	    0.27273 


Before Matching Minimum p.value: 0.0095173 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

After Matching Minimum p.value: 0.087165 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3745   0.5804   0.2059           0.1251   0.6435  1.6462  .      
ave.log.duration.prev5          2.0249   1.4927   -0.5321          0.3904   -0.5377 -1.3632        
ave.outcome.prev5               0.1745   0.3131   0.1386           0.1247   0.4405  1.1115         
ForceUS.prop.prev10             0.3816   0.3926   0.0110           0.0738   0.0511  0.1491         
ave.log.duration.prev10         2.6276   2.4882   -0.1394          0.2742   -0.1788 -0.5085        
ave.outcome.prev10              0.1803   0.2423   0.0619           0.0602   0.3327  1.0291         
---Overall Test---
      chisquare df p.value
strat      6.16  6   0.406
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     18 
$p.values
ForceUS     NPC 
  0.522   0.522 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1464706 15.0982353  0.1352941 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1441059 26.5556943  0.1532135 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 8.6417647  0.7098495  7.8782353 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.2415811  0.5558972  1.1659248 

Closed Testing
Intersection 1 of 7 

*** primary none FALSE mean ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
    ForceUS  DurationUS   OutcomeUS 
 0.12312124 87.76449332  0.03849175 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.113             0.005             0.315             0.149             0.019             0.315             0.019 

*** primary none FALSE harmonic ***

*** primary none FALSE rank ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 18.221943   2.875019   6.464101 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.113             0.006             0.283             0.134             0.029             0.283             0.029 

*** primary none FALSE hlm ***

Number of observations deleted due to missingness: 0 

Closed Testing
Intersection 1 of 7 
   ForceUS DurationUS  OutcomeUS 
 1.4983705  2.7150162  0.8850723 
          ForceUS        DurationUS         OutcomeUS    ForceUS (adj.) DurationUS (adj.)  OutcomeUS (adj.)               NPC 
            0.083             0.006             0.209             0.102             0.016             0.209             0.016 

*** primary none TRUE mean ***

*** primary none TRUE harmonic ***

*** primary none TRUE rank ***

*** primary none TRUE hlm ***

*** primary log.placebo FALSE ***


Tue Apr 28 13:45:48 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.981850e-02  7.094919e-02  9.611945e-02  1.056643e-01  1.229092e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.917251e-01  8.079242e-01  8.079242e-01  

      1 	7.044032e-02  8.425961e-02  9.124418e-02  1.139446e-01  1.367683e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.968651e-01  8.079242e-01  8.079242e-01  

      2 	8.425961e-02  1.337418e-01  1.567488e-01  1.931736e-01  2.029144e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.968651e-01  8.079242e-01  8.079242e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
8.425961e-02  1.337418e-01  1.567488e-01  1.931736e-01  2.029144e-01  2.058362e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.968651e-01  8.079242e-01  8.079242e-01  

Parameters at the Solution:

 X[ 1] :	2.201746e+01
 X[ 2] :	3.407504e+02
 X[ 3] :	3.793562e+01
 X[ 4] :	5.111687e+01
 X[ 5] :	4.573441e+02
 X[ 6] :	8.268949e+02

Solution Found Generation 2
Number of Generations Run 13

Tue Apr 28 14:04:33 2015
Total run time : 0 hours 18 minutes and 45 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Hoover         1          0
2       Monroe         6          6  Roosevelt, F.        10          8
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2    Bush, G. W.        24         20
5         Polk         1          1 Bush, G. H. W.         8          5
6  Johnson, A.         5          5         Arthur         2          1
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4          Nixon        12          9
9  Johnson, L.        22         15           Ford         4          4
10      Carter         9          7          Obama         4          3
11     Clinton        24         10        Kennedy         9          3

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.38707 
std mean diff.........      86.04 	 	     53.551 

mean raw eQQ diff.....    0.30222 	 	    0.19329 
med  raw eQQ diff.....        0.3 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.16234 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3706 
T-test p-value........   0.022431 	 	    0.08426 
KS Bootstrap p-value..      0.024 	 	        0.7 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     1.8744 
std mean diff.........    -102.23 	 	    -36.345 

mean raw eQQ diff.....    0.97669 	 	    0.46212 
med  raw eQQ diff.....    0.61071 	 	     0.3468 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21606 	 	    0.15789 
med  eCDF diff........    0.20629 	 	    0.18182 
max  eCDF diff........    0.41958 	 	    0.36364 

var ratio (Tr/Co).....    0.64038 	 	     1.9498 
T-test p-value........   0.014791 	 	    0.19317 
KS Bootstrap p-value..      0.101 	 	      0.406 
KS Naive p-value......     0.1315 	 	    0.46107 
KS Statistic..........    0.41958 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.16582 
std mean diff.........     30.036 	 	     37.432 

mean raw eQQ diff.....    0.12547 	 	    0.14724 
med  raw eQQ diff.....   0.075758 	 	    0.11039 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.14394 
med  eCDF diff........    0.08042 	 	    0.18182 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     2.8871 
T-test p-value........    0.36946 	 	    0.13374 
KS Bootstrap p-value..      0.699 	 	      0.649 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.36541 
std mean diff.........     30.408 	 	     11.894 

mean raw eQQ diff.....   0.093899 	 	   0.055618 
med  raw eQQ diff.....        0.1 	 	   0.053922 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	    0.10048 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.77177 
T-test p-value........    0.41277 	 	    0.49687 
KS Bootstrap p-value..      0.042 	 	      0.404 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3307 
std mean diff.........    -61.379 	 	     30.575 

mean raw eQQ diff.....    0.70577 	 	    0.22046 
med  raw eQQ diff.....    0.50132 	 	     0.1643 
max  raw eQQ diff.....     1.8581 	 	    0.51605 

mean eCDF diff........    0.15647 	 	    0.16017 
med  eCDF diff........    0.15909 	 	   0.090909 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	     1.1235 
T-test p-value........    0.23342 	 	    0.15675 
KS Bootstrap p-value..      0.333 	 	      0.197 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.20907 
std mean diff.........     10.704 	 	     16.585 

mean raw eQQ diff.....   0.056021 	 	   0.066987 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.11429 

mean eCDF diff........   0.077379 	 	    0.14205 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.96673 	 	    0.65906 
T-test p-value........    0.77034 	 	    0.20291 
KS Bootstrap p-value..      0.809 	 	      0.381 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.08426 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.38707 
std mean diff.........      86.04 	 	     53.551 

mean raw eQQ diff.....    0.30222 	 	    0.19329 
med  raw eQQ diff.....        0.3 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.16234 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3706 
T-test p-value........   0.022431 	 	    0.08426 
KS Bootstrap p-value..       0.03 	 	      0.688 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     1.8744 
std mean diff.........    -102.23 	 	    -36.345 

mean raw eQQ diff.....    0.97669 	 	    0.46212 
med  raw eQQ diff.....    0.61071 	 	     0.3468 
max  raw eQQ diff.....     2.3128 	 	     1.3233 

mean eCDF diff........    0.21606 	 	    0.15789 
med  eCDF diff........    0.20629 	 	    0.18182 
max  eCDF diff........    0.41958 	 	    0.36364 

var ratio (Tr/Co).....    0.64038 	 	     1.9498 
T-test p-value........   0.014791 	 	    0.19317 
KS Bootstrap p-value..      0.075 	 	      0.405 
KS Naive p-value......     0.1315 	 	    0.46107 
KS Statistic..........    0.41958 	 	    0.36364 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.16582 
std mean diff.........     30.036 	 	     37.432 

mean raw eQQ diff.....    0.12547 	 	    0.14724 
med  raw eQQ diff.....   0.075758 	 	    0.11039 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.14394 
med  eCDF diff........    0.08042 	 	    0.18182 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     2.8871 
T-test p-value........    0.36946 	 	    0.13374 
KS Bootstrap p-value..      0.697 	 	      0.637 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.36541 
std mean diff.........     30.408 	 	     11.894 

mean raw eQQ diff.....   0.093899 	 	   0.055618 
med  raw eQQ diff.....        0.1 	 	   0.053922 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	    0.10048 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.77177 
T-test p-value........    0.41277 	 	    0.49687 
KS Bootstrap p-value..      0.044 	 	      0.412 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3307 
std mean diff.........    -61.379 	 	     30.575 

mean raw eQQ diff.....    0.70577 	 	    0.22046 
med  raw eQQ diff.....    0.50132 	 	     0.1643 
max  raw eQQ diff.....     1.8581 	 	    0.51605 

mean eCDF diff........    0.15647 	 	    0.16017 
med  eCDF diff........    0.15909 	 	   0.090909 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	     1.1235 
T-test p-value........    0.23342 	 	    0.15675 
KS Bootstrap p-value..      0.284 	 	      0.166 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.20907 
std mean diff.........     10.704 	 	     16.585 

mean raw eQQ diff.....   0.056021 	 	   0.066987 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.11429 

mean eCDF diff........   0.077379 	 	    0.14205 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.96673 	 	    0.65906 
T-test p-value........    0.77034 	 	    0.20291 
KS Bootstrap p-value..      0.838 	 	      0.376 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.08426 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3871   0.5804   0.1933           0.1165   0.5758  1.6595  .      
ave.log.duration.prev5          1.8744   1.4927   -0.3817          0.2968   -0.4179 -1.2860        
ave.outcome.prev5               0.1658   0.3131   0.1472           0.1006   0.4562  1.4643         
ForceUS.prop.prev10             0.3654   0.3926   0.0272           0.0394   0.1110  0.6897         
ave.log.duration.prev10         2.3307   2.4882   0.1575           0.1133   0.3145  1.3901         
ave.outcome.prev10              0.2091   0.2423   0.0332           0.0264   0.1478  1.2604         
---Overall Test---
      chisquare df p.value
strat      4.82  6   0.568
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     14 
$p.values
ForceUS     NPC 
  0.745   0.745 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
-0.0128655 81.0692658  0.0591293 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.07910927 83.57578053  0.14965565 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 -1.132164   2.083482   5.580767 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2661165  1.8039896  1.1119814 

Closed Testing
Intersection 1 of 7 

*** primary log.placebo TRUE ***


Tue Apr 28 16:07:45 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	7.411157e-02  9.863473e-02  1.023073e-01  2.058362e-01  2.058362e-01  2.314532e-01  4.425823e-01  5.708568e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
7.411157e-02  9.863473e-02  1.023073e-01  2.058362e-01  2.058362e-01  2.314532e-01  4.425823e-01  5.708568e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	5.651692e+02
 X[ 2] :	8.470530e+02
 X[ 3] :	3.829330e+02
 X[ 4] :	3.722980e+02
 X[ 5] :	1.010205e+01
 X[ 6] :	7.039269e+00

Solution Found Generation 1
Number of Generations Run 11

Tue Apr 28 16:27:29 2015
Total run time : 0 hours 19 minutes and 44 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Hoover         1          0
2       Monroe         6          6         Hoover         1          0
3      Jackson         4          4   Adams, J. Q.         1          0
4        Tyler         2          2          Nixon        12          9
5         Polk         1          1          Obama         4          3
6  Johnson, A.         5          5          Grant         7          6
7       Wilson        15         13       Buchanan         6          5
8       Truman         6          4    Bush, G. W.        24         20
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7  Roosevelt, F.        10          8
11     Clinton        24         10          Obama         4          3

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.49254 
std mean diff.........      86.04 	 	     24.331 

mean raw eQQ diff.....    0.30222 	 	    0.10199 
med  raw eQQ diff.....        0.3 	 	   0.035714 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	   0.083916 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.6856 
T-test p-value........   0.022431 	 	    0.10231 
KS Bootstrap p-value..      0.024 	 	       0.69 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0313 
std mean diff.........    -102.23 	 	    -51.278 

mean raw eQQ diff.....    0.97669 	 	    0.65036 
med  raw eQQ diff.....    0.61071 	 	    0.40204 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.21606 	 	    0.18182 
med  eCDF diff........    0.20629 	 	    0.18182 
max  eCDF diff........    0.41958 	 	    0.45455 

var ratio (Tr/Co).....    0.64038 	 	     6.1129 
T-test p-value........   0.014791 	 	   0.074112 
KS Bootstrap p-value..      0.101 	 	      0.171 
KS Naive p-value......     0.1315 	 	    0.20584 
KS Statistic..........    0.41958 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.25002 
std mean diff.........     30.036 	 	     16.027 

mean raw eQQ diff.....    0.12547 	 	    0.10292 
med  raw eQQ diff.....   0.075758 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	   0.083333 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.9026 
T-test p-value........    0.36946 	 	    0.23145 
KS Bootstrap p-value..      0.699 	 	      0.942 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.41279 
std mean diff.........     30.408 	 	    -8.8293 

mean raw eQQ diff.....   0.093899 	 	   0.053915 
med  raw eQQ diff.....        0.1 	 	   0.053221 
max  raw eQQ diff.....    0.16667 	 	    0.12088 

mean eCDF diff........    0.14577 	 	    0.10695 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.95416 
T-test p-value........    0.41277 	 	    0.44258 
KS Bootstrap p-value..      0.042 	 	      0.719 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.2611 
std mean diff.........    -61.379 	 	     44.087 

mean raw eQQ diff.....    0.70577 	 	    0.29009 
med  raw eQQ diff.....    0.50132 	 	    0.17348 
max  raw eQQ diff.....     1.8581 	 	    0.70279 

mean eCDF diff........    0.15647 	 	    0.15311 
med  eCDF diff........    0.15909 	 	   0.090909 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.94285 
T-test p-value........    0.23342 	 	   0.098635 
KS Bootstrap p-value..      0.333 	 	      0.187 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	     0.2705 
std mean diff.........     10.704 	 	    -14.083 

mean raw eQQ diff.....   0.056021 	 	   0.076785 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.17033 

mean eCDF diff........   0.077379 	 	    0.11364 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.57667 
T-test p-value........    0.77034 	 	    0.57086 
KS Bootstrap p-value..      0.809 	 	      0.728 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.074112 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.49254 
std mean diff.........      86.04 	 	     24.331 

mean raw eQQ diff.....    0.30222 	 	    0.10199 
med  raw eQQ diff.....        0.3 	 	   0.035714 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	   0.083916 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.6856 
T-test p-value........   0.022431 	 	    0.10231 
KS Bootstrap p-value..       0.03 	 	      0.702 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0313 
std mean diff.........    -102.23 	 	    -51.278 

mean raw eQQ diff.....    0.97669 	 	    0.65036 
med  raw eQQ diff.....    0.61071 	 	    0.40204 
max  raw eQQ diff.....     2.3128 	 	     1.5564 

mean eCDF diff........    0.21606 	 	    0.18182 
med  eCDF diff........    0.20629 	 	    0.18182 
max  eCDF diff........    0.41958 	 	    0.45455 

var ratio (Tr/Co).....    0.64038 	 	     6.1129 
T-test p-value........   0.014791 	 	   0.074112 
KS Bootstrap p-value..      0.075 	 	      0.177 
KS Naive p-value......     0.1315 	 	    0.20584 
KS Statistic..........    0.41958 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.25002 
std mean diff.........     30.036 	 	     16.027 

mean raw eQQ diff.....    0.12547 	 	    0.10292 
med  raw eQQ diff.....   0.075758 	 	   0.052632 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	   0.083333 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.9026 
T-test p-value........    0.36946 	 	    0.23145 
KS Bootstrap p-value..      0.697 	 	      0.931 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.41279 
std mean diff.........     30.408 	 	    -8.8293 

mean raw eQQ diff.....   0.093899 	 	   0.053915 
med  raw eQQ diff.....        0.1 	 	   0.053221 
max  raw eQQ diff.....    0.16667 	 	    0.12088 

mean eCDF diff........    0.14577 	 	    0.10695 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.95416 
T-test p-value........    0.41277 	 	    0.44258 
KS Bootstrap p-value..      0.044 	 	      0.733 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.2611 
std mean diff.........    -61.379 	 	     44.087 

mean raw eQQ diff.....    0.70577 	 	    0.29009 
med  raw eQQ diff.....    0.50132 	 	    0.17348 
max  raw eQQ diff.....     1.8581 	 	    0.70279 

mean eCDF diff........    0.15647 	 	    0.15311 
med  eCDF diff........    0.15909 	 	   0.090909 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.94285 
T-test p-value........    0.23342 	 	   0.098635 
KS Bootstrap p-value..      0.284 	 	       0.15 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	     0.2705 
std mean diff.........     10.704 	 	    -14.083 

mean raw eQQ diff.....   0.056021 	 	   0.076785 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.17033 

mean eCDF diff........   0.077379 	 	    0.11364 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.57667 
T-test p-value........    0.77034 	 	    0.57086 
KS Bootstrap p-value..      0.838 	 	      0.704 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.074112 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4925   0.5804   0.0878           0.0556   0.2726  1.5810         
ave.log.duration.prev5          2.0313   1.4927   -0.5386          0.3151   -0.6723 -1.7090 .      
ave.outcome.prev5               0.2500   0.3131   0.0630           0.0530   0.1835  1.1893         
ForceUS.prop.prev10             0.4128   0.3926   -0.0202          0.0260   -0.0873 -0.7772        
ave.log.duration.prev10         2.2611   2.4882   0.2272           0.1423   0.4343  1.5961         
ave.outcome.prev10              0.2705   0.2423   -0.0282          0.0489   -0.1205 -0.5771        
---Overall Test---
      chisquare df p.value
strat       6.5  6    0.37
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     17 
$p.values
ForceUS     NPC 
  0.686   0.686 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.01713900 86.42159244  0.05533063 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.08343828 88.96250492  0.14388364 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 -1.482524   2.034072   5.171323 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2405018  1.9739208  0.9426517 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs FALSE ***


Tue Apr 28 18:29:41 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	3.589729e-01  3.667158e-01  4.522213e-01  4.791504e-01  7.354637e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	3.589729e-01  4.061472e-01  4.429486e-01  4.791504e-01  7.984109e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
3.589729e-01  4.061472e-01  4.429486e-01  4.791504e-01  7.984109e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	3.846414e+01
 X[ 2] :	5.195820e-01
 X[ 3] :	1.786792e+01
 X[ 4] :	9.931881e+02
 X[ 5] :	8.852107e+02
 X[ 6] :	1.116066e+02
 X[ 7] :	9.341059e+02

Solution Found Generation 1
Number of Generations Run 12

Tue Apr 28 18:55:05 2015
Total run time : 0 hours 25 minutes and 24 seconds
         NameS PrimMIDsS AloneMIDsS          NameN PrimMIDsN AloneMIDsN
1      Madison         1          1           Ford         4          4
2       Monroe         6          6          Grant         7          6
3      Jackson         4          4      Cleveland         9          6
4        Tyler         2          2         Arthur         2          1
5         Polk         1          1      Van Buren         4          4
6  Johnson, A.         5          5       Fillmore         3          3
7       Wilson        15         13  Roosevelt, T.         9          7
8       Truman         6          4     Eisenhower        28         18
9  Johnson, L.        22         15 Bush, G. H. W.         8          5
10      Carter         9          7         Pierce         7          7
11     Clinton        24         10         Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1906.6 
std mean diff.........    -32.151 	 	    -23.162 

mean raw eQQ diff.....     22.273 	 	     18.909 
med  raw eQQ diff.....         16 	 	         20 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.12758 	 	     0.1281 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.36364 

var ratio (Tr/Co).....     1.6592 	 	     1.4679 
T-test p-value........    0.35591 	 	    0.44295 
KS Bootstrap p-value..      0.134 	 	      0.428 
KS Naive p-value......    0.16871 	 	    0.47915 
KS Statistic..........    0.37762 	 	    0.36364 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     1.8748 
std mean diff.........    -26.764 	 	    -15.129 

mean raw eQQ diff.....    0.39031 	 	    0.33717 
med  raw eQQ diff.....     0.1431 	 	    0.25131 
max  raw eQQ diff.....     1.3863 	 	     1.0986 

mean eCDF diff........   0.093573 	 	   0.090909 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.18182 

var ratio (Tr/Co).....     1.7416 	 	     1.6406 
T-test p-value........    0.43826 	 	    0.35897 
KS Bootstrap p-value..       0.45 	 	      0.964 
KS Naive p-value......    0.66243 	 	    0.99336 
KS Statistic..........    0.26224 	 	    0.18182 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     6.9091 
std mean diff.........     -23.98 	 	    -6.1578 

mean raw eQQ diff.....     1.9091 	 	     1.0909 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........    0.10233 	 	    0.07438 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.18182 

var ratio (Tr/Co).....    0.93446 	 	       1.08 
T-test p-value........    0.51706 	 	    0.79841 
KS Bootstrap p-value..      0.518 	 	      0.957 
KS Naive p-value......    0.78997 	 	    0.99336 
KS Statistic..........    0.23427 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     5.4593 
std mean diff.........     24.214 	 	     7.0918 

mean raw eQQ diff.....     1.2773 	 	    0.40446 
med  raw eQQ diff.....    0.77207 	 	   0.002738 
max  raw eQQ diff.....     4.1068 	 	     1.2786 

mean eCDF diff........    0.10537 	 	   0.071429 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.18182 

var ratio (Tr/Co).....    0.99228 	 	     1.0219 
T-test p-value........    0.50941 	 	    0.40615 
KS Bootstrap p-value..      0.607 	 	      0.939 
KS Naive p-value......    0.83366 	 	    0.99336 
KS Statistic..........    0.22378 	 	    0.18182 


Before Matching Minimum p.value: 0.134 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.35897 
Variable Name(s): log.yrs.since.war  Number(s): 5 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.16696 
std mean diff.........      86.04 	 	     114.53 

mean raw eQQ diff.....    0.30222 	 	     0.4134 
med  raw eQQ diff.....        0.3 	 	    0.35714 
max  raw eQQ diff.....        0.7 	 	        0.8 

mean eCDF diff........    0.30594 	 	    0.38843 
med  eCDF diff........    0.31119 	 	    0.45455 
max  eCDF diff........    0.47203 	 	    0.54545 

var ratio (Tr/Co).....     1.5688 	 	      4.474 
T-test p-value........   0.022431 	 	  0.0034796 
KS Bootstrap p-value..       0.03 	 	      0.055 
KS Naive p-value......   0.063838 	 	   0.075802 
KS Statistic..........    0.47203 	 	    0.54545 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.8715 
std mean diff.........    -102.23 	 	    -131.28 

mean raw eQQ diff.....    0.97669 	 	     1.3788 
med  raw eQQ diff.....    0.61071 	 	     1.3571 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.21606 	 	    0.26316 
med  eCDF diff........    0.20629 	 	    0.27273 
max  eCDF diff........    0.41958 	 	    0.45455 

var ratio (Tr/Co).....    0.64038 	 	    0.38515 
T-test p-value........   0.014791 	 	   0.019556 
KS Bootstrap p-value..      0.075 	 	       0.18 
KS Naive p-value......     0.1315 	 	    0.20584 
KS Statistic..........    0.41958 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.21011 
std mean diff.........     30.036 	 	     26.174 

mean raw eQQ diff.....    0.12547 	 	    0.11536 
med  raw eQQ diff.....   0.075758 	 	   0.068182 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.075758 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     2.1594 
T-test p-value........    0.36946 	 	    0.46611 
KS Bootstrap p-value..      0.697 	 	      0.927 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.27102 
std mean diff.........     30.408 	 	     53.178 

mean raw eQQ diff.....   0.093899 	 	    0.12159 
med  raw eQQ diff.....        0.1 	 	        0.1 
max  raw eQQ diff.....    0.16667 	 	    0.33333 

mean eCDF diff........    0.14577 	 	    0.20202 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.45455 

var ratio (Tr/Co).....    0.93607 	 	     2.0206 
T-test p-value........    0.41277 	 	    0.19967 
KS Bootstrap p-value..      0.044 	 	      0.189 
KS Naive p-value......   0.090399 	 	    0.20584 
KS Statistic..........    0.44755 	 	    0.45455 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     3.0394 
std mean diff.........    -61.379 	 	    -106.97 

mean raw eQQ diff.....    0.70577 	 	    0.83114 
med  raw eQQ diff.....    0.50132 	 	    0.59965 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.15647 	 	    0.15584 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.36364 

var ratio (Tr/Co).....    0.23294 	 	      0.171 
T-test p-value........    0.23342 	 	    0.17218 
KS Bootstrap p-value..      0.284 	 	      0.403 
KS Naive p-value......    0.45707 	 	    0.46107 
KS Statistic..........    0.30769 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	     0.2023 
std mean diff.........     10.704 	 	     19.965 

mean raw eQQ diff.....   0.056021 	 	   0.065367 
med  raw eQQ diff.....   0.045455 	 	   0.043478 
max  raw eQQ diff.....    0.11429 	 	    0.16667 

mean eCDF diff........   0.077379 	 	   0.084848 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	     1.5604 
T-test p-value........    0.77034 	 	    0.60346 
KS Bootstrap p-value..      0.838 	 	      0.697 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.0034796 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.1670   0.5804   0.4134           0.1654   1.4643  2.4991  *      
ave.log.duration.prev5          2.8715   1.4927   -1.3788          0.6476   -0.9790 -2.1291 *      
ave.outcome.prev5               0.2101   0.3131   0.1030           0.1394   0.3060  0.7387         
ForceUS.prop.prev10             0.2710   0.3926   0.1216           0.0958   0.6151  1.2688         
ave.log.duration.prev10         3.0394   2.4882   -0.5512          0.4100   -0.5781 -1.3443        
ave.outcome.prev10              0.2023   0.2423   0.0400           0.0755   0.2204  0.5295         
---Overall Test---
      chisquare df p.value
strat      7.99  6   0.239
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
    -19 
$p.values
ForceUS     NPC 
   0.55    0.55 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.20350877 91.78596491  0.06140351 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.2585367 83.0379280  0.2062410 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 21.266667   2.110254   6.908772 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.939619   2.573455   1.235572 

Closed Testing
Intersection 1 of 7 

*** primary basic.covs TRUE ***


Tue Apr 28 21:13:49 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	4.138672e-01  5.067494e-01  5.442527e-01  6.931180e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
4.138672e-01  5.067494e-01  5.442527e-01  6.931180e-01  8.079242e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	5.553058e+02
 X[ 2] :	7.403398e+02
 X[ 3] :	8.425647e+02
 X[ 4] :	5.896749e+02
 X[ 5] :	3.723670e+01
 X[ 6] :	2.606512e+02
 X[ 7] :	2.850539e+02

Solution Found Generation 1
Number of Generations Run 11

Tue Apr 28 21:31:59 2015
Total run time : 0 hours 18 minutes and 10 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1      Fillmore         3          3
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4         Grant         7          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5        Pierce         7          7
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15         Nixon        12          9
10      Carter         9          7          Ford         4          4
11     Clinton        24         10        Reagan        33         24

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1894.3 
std mean diff.........    -32.151 	 	    -5.2641 

mean raw eQQ diff.....     22.273 	 	     8.5455 
med  raw eQQ diff.....         16 	 	          8 
max  raw eQQ diff.....         44 	 	         16 

mean eCDF diff........    0.12758 	 	   0.060606 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     1.6592 	 	     1.1889 
T-test p-value........    0.35591 	 	    0.54425 
KS Bootstrap p-value..      0.134 	 	      0.977 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     1.5189 
std mean diff.........    -26.764 	 	     11.699 

mean raw eQQ diff.....    0.39031 	 	    0.33354 
med  raw eQQ diff.....     0.1431 	 	    0.29849 
max  raw eQQ diff.....     1.3863 	 	    0.89794 

mean eCDF diff........   0.093573 	 	   0.097902 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.27273 

var ratio (Tr/Co).....     1.7416 	 	      1.727 
T-test p-value........    0.43826 	 	    0.69312 
KS Bootstrap p-value..       0.45 	 	      0.675 
KS Naive p-value......    0.66243 	 	    0.80792 
KS Statistic..........    0.26224 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	          7 
std mean diff.........     -23.98 	 	    -7.6972 

mean raw eQQ diff.....     1.9091 	 	     1.1818 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          2 

mean eCDF diff........    0.10233 	 	   0.082645 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.18182 

var ratio (Tr/Co).....    0.93446 	 	     1.1036 
T-test p-value........    0.51706 	 	    0.50675 
KS Bootstrap p-value..      0.518 	 	      0.942 
KS Naive p-value......    0.78997 	 	    0.99336 
KS Statistic..........    0.23427 	 	    0.18182 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	      5.286 
std mean diff.........     24.214 	 	     14.256 

mean raw eQQ diff.....     1.2773 	 	    0.59362 
med  raw eQQ diff.....    0.77207 	 	   0.090349 
max  raw eQQ diff.....     4.1068 	 	     2.2259 

mean eCDF diff........    0.10537 	 	   0.083916 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.18182 

var ratio (Tr/Co).....    0.99228 	 	     1.2051 
T-test p-value........    0.50941 	 	    0.41387 
KS Bootstrap p-value..      0.607 	 	      0.945 
KS Naive p-value......    0.83366 	 	    0.99336 
KS Statistic..........    0.22378 	 	    0.18182 


Before Matching Minimum p.value: 0.134 
Variable Name(s): TermStartYear  Number(s): 3 

After Matching Minimum p.value: 0.41387 
Variable Name(s): TermYrsAdj  Number(s): 7 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.35787 
std mean diff.........      86.04 	 	     61.641 

mean raw eQQ diff.....    0.30222 	 	     0.2225 
med  raw eQQ diff.....        0.3 	 	    0.19048 
max  raw eQQ diff.....        0.7 	 	    0.63636 

mean eCDF diff........    0.30594 	 	    0.21212 
med  eCDF diff........    0.31119 	 	    0.22727 
max  eCDF diff........    0.47203 	 	    0.36364 

var ratio (Tr/Co).....     1.5688 	 	     1.0515 
T-test p-value........   0.022431 	 	    0.17155 
KS Bootstrap p-value..       0.03 	 	      0.363 
KS Naive p-value......   0.063838 	 	    0.46107 
KS Statistic..........    0.47203 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     3.0176 
std mean diff.........    -102.23 	 	    -145.19 

mean raw eQQ diff.....    0.97669 	 	     1.5249 
med  raw eQQ diff.....    0.61071 	 	     1.3571 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.21606 	 	     0.2823 
med  eCDF diff........    0.20629 	 	    0.27273 
max  eCDF diff........    0.41958 	 	    0.45455 

var ratio (Tr/Co).....    0.64038 	 	    0.51354 
T-test p-value........   0.014791 	 	   0.011656 
KS Bootstrap p-value..      0.075 	 	      0.171 
KS Naive p-value......     0.1315 	 	    0.20584 
KS Statistic..........    0.41958 	 	    0.45455 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.23435 
std mean diff.........     30.036 	 	     20.011 

mean raw eQQ diff.....    0.12547 	 	    0.13657 
med  raw eQQ diff.....   0.075758 	 	    0.15152 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.099174 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.7156 
T-test p-value........    0.36946 	 	      0.583 
KS Bootstrap p-value..      0.697 	 	      0.916 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.43274 
std mean diff.........     30.408 	 	    -17.552 

mean raw eQQ diff.....   0.093899 	 	   0.086533 
med  raw eQQ diff.....        0.1 	 	   0.041667 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	   0.090909 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.52927 
T-test p-value........    0.41277 	 	    0.72414 
KS Bootstrap p-value..      0.044 	 	      0.744 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.9663 
std mean diff.........    -61.379 	 	    -92.781 

mean raw eQQ diff.....    0.70577 	 	    0.86379 
med  raw eQQ diff.....    0.50132 	 	    0.74337 
max  raw eQQ diff.....     1.8581 	 	     1.8581 

mean eCDF diff........    0.15647 	 	    0.15909 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.36364 

var ratio (Tr/Co).....    0.23294 	 	     0.1466 
T-test p-value........    0.23342 	 	    0.25647 
KS Bootstrap p-value..      0.284 	 	      0.409 
KS Naive p-value......    0.45707 	 	    0.46107 
KS Statistic..........    0.30769 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.29371 
std mean diff.........     10.704 	 	     -25.67 

mean raw eQQ diff.....   0.056021 	 	   0.096049 
med  raw eQQ diff.....   0.045455 	 	      0.075 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.077379 	 	    0.11364 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.57852 
T-test p-value........    0.77034 	 	    0.47095 
KS Bootstrap p-value..      0.838 	 	      0.725 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.011656 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3579   0.5804   0.2225           0.1653   0.6241  1.3461         
ave.log.duration.prev5          3.0176   1.4927   -1.5249          0.6757   -1.1960 -2.2566 *      
ave.outcome.prev5               0.2343   0.3131   0.0787           0.1408   0.2249  0.5592         
ForceUS.prop.prev10             0.4327   0.3926   -0.0401          0.1112   -0.1460 -0.3609        
ave.log.duration.prev10         2.9663   2.4882   -0.4781          0.4226   -0.4692 -1.1314        
ave.outcome.prev10              0.2937   0.2423   -0.0514          0.0704   -0.2198 -0.7309        
---Overall Test---
      chisquare df p.value
strat       7.5  6   0.277
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
    -14 
$p.values
ForceUS     NPC 
  0.687   0.687 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.20222115 95.10449058  0.04780299 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.12343566 93.80055424  0.03578644 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 20.626557   3.001226   5.437373 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.7496983  2.8810981  0.7257947 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs FALSE ***


Tue Apr 28 23:39:29 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.986506e-02  7.280595e-02  1.490070e-01  1.490070e-01  1.913811e-01  1.924037e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.358783e-01  3.762448e-01  4.591348e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  7.273099e-01  7.790896e-01  7.925162e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.393965e-01  8.987805e-01  9.933474e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      1 	7.313511e-02  1.410865e-01  1.723173e-01  1.921382e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.397961e-01  4.504104e-01  4.545347e-01  4.610718e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.283654e-01  6.599796e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.146115e-01  8.317101e-01  8.325877e-01  9.088506e-01  9.933474e-01  9.933560e-01  9.933560e-01  

      2 	8.156227e-02  1.176376e-01  1.306477e-01  1.795581e-01  1.857922e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.153281e-01  4.610718e-01  4.610718e-01  5.323452e-01  5.630918e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.312881e-01  7.429910e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.840372e-01  8.897046e-01  9.517506e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      3 	8.368056e-02  1.012016e-01  1.111649e-01  1.258204e-01  1.428847e-01  2.058362e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.476001e-01  4.610718e-01  4.610718e-01  4.747689e-01  5.652981e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.300031e-01  7.212352e-01  7.901911e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.723398e-01  9.484014e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

      4 	1.119283e-01  1.189840e-01  1.257982e-01  1.405048e-01  2.058362e-01  2.753705e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.189523e-01  4.610718e-01  5.205719e-01  5.652529e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.669223e-01  6.745736e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.593523e-01  8.787944e-01  9.924519e-01  9.933560e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.119283e-01  1.189840e-01  1.257982e-01  1.405048e-01  2.058362e-01  2.753705e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.189523e-01  4.610718e-01  5.205719e-01  5.652529e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  6.669223e-01  6.745736e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.593523e-01  8.787944e-01  9.924519e-01  9.933560e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	4.700580e+02
 X[ 2] :	1.510869e+01
 X[ 3] :	8.850912e+02
 X[ 4] :	3.916551e+02
 X[ 5] :	3.768524e+02
 X[ 6] :	4.373228e+02
 X[ 7] :	3.556593e+02
 X[ 8] :	2.283679e+02
 X[ 9] :	1.427900e+02
 X[10] :	2.853604e+02
 X[11] :	1.382201e+02
 X[12] :	8.682917e+02
 X[13] :	1.188523e+00
 X[14] :	6.198313e+01
 X[15] :	7.194459e+02
 X[16] :	1.715364e+02
 X[17] :	9.521969e+02
 X[18] :	8.448086e+02

Solution Found Generation 4
Number of Generations Run 15

Wed Apr 29 00:09:21 2015
Total run time : 0 hours 29 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4        Hoover         1          0
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4 Roosevelt, F.        10          8
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10         Obama         4          3

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.27273 
std mean diff.........     11.088 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.027972 	 	   0.045455 
med  eCDF diff........   0.027972 	 	   0.045455 
max  eCDF diff........   0.055944 	 	   0.090909 

var ratio (Tr/Co).....      1.149 	 	     1.1667 
T-test p-value........    0.75688 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1906.9 
std mean diff.........    -32.151 	 	    -23.557 

mean raw eQQ diff.....     22.273 	 	     19.364 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.12758 	 	    0.10331 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     1.6592 	 	     1.3538 
T-test p-value........    0.35591 	 	    0.11898 
KS Bootstrap p-value..      0.134 	 	      0.784 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.27273 
std mean diff.........    -19.405 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	     1.1667 
T-test p-value........    0.59663 	 	    0.57067 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	      1.983 
std mean diff.........    -26.764 	 	    -23.282 

mean raw eQQ diff.....    0.39031 	 	    0.48784 
med  raw eQQ diff.....     0.1431 	 	    0.46262 
max  raw eQQ diff.....     1.3863 	 	     1.3863 

mean eCDF diff........   0.093573 	 	    0.09697 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.27273 

var ratio (Tr/Co).....     1.7416 	 	     1.8849 
T-test p-value........    0.43826 	 	    0.52057 
KS Bootstrap p-value..       0.45 	 	      0.697 
KS Naive p-value......    0.66243 	 	    0.80792 
KS Statistic..........    0.26224 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     7.1818 
std mean diff.........     -23.98 	 	    -10.776 

mean raw eQQ diff.....     1.9091 	 	     1.3636 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........    0.10233 	 	   0.090909 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	     1.0709 
T-test p-value........    0.51706 	 	    0.56525 
KS Bootstrap p-value..      0.518 	 	      0.679 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     4.9351 
std mean diff.........     24.214 	 	     28.769 

mean raw eQQ diff.....     1.2773 	 	     1.5827 
med  raw eQQ diff.....    0.77207 	 	     1.0732 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	     0.1697 
med  eCDF diff........     0.1049 	 	    0.18182 
max  eCDF diff........    0.22378 	 	    0.36364 

var ratio (Tr/Co).....    0.99228 	 	    0.63248 
T-test p-value........    0.50941 	 	    0.41895 
KS Bootstrap p-value..      0.607 	 	      0.357 
KS Naive p-value......    0.83366 	 	    0.46107 
KS Statistic..........    0.22378 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.40643 
std mean diff.........      86.04 	 	     48.186 

mean raw eQQ diff.....    0.30222 	 	    0.17393 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.12587 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3518 
T-test p-value........   0.022431 	 	     0.1258 
KS Bootstrap p-value..      0.024 	 	      0.677 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0954 
std mean diff.........    -102.23 	 	    -57.384 

mean raw eQQ diff.....    0.97669 	 	    0.60268 
med  raw eQQ diff.....    0.61071 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.11005 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.83773 
T-test p-value........   0.014791 	 	    0.11193 
KS Bootstrap p-value..      0.101 	 	      0.755 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.29784 
std mean diff.........     30.036 	 	     3.8718 

mean raw eQQ diff.....    0.12547 	 	    0.11248 
med  raw eQQ diff.....   0.075758 	 	   0.095238 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	   0.075758 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.8475 
T-test p-value........    0.36946 	 	    0.87879 
KS Bootstrap p-value..      0.699 	 	      0.938 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.37755 
std mean diff.........     30.408 	 	      6.586 

mean raw eQQ diff.....   0.093899 	 	   0.047811 
med  raw eQQ diff.....        0.1 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	   0.085859 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.80795 
T-test p-value........    0.41277 	 	    0.85935 
KS Bootstrap p-value..      0.042 	 	       0.74 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3891 
std mean diff.........    -61.379 	 	     19.247 

mean raw eQQ diff.....    0.70577 	 	    0.42027 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20779 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.39307 
T-test p-value........    0.23342 	 	    0.66692 
KS Bootstrap p-value..      0.333 	 	      0.172 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.29349 
std mean diff.........     10.704 	 	    -25.561 

mean raw eQQ diff.....   0.056021 	 	   0.091506 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.17033 

mean eCDF diff........   0.077379 	 	    0.11364 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.69272 
T-test p-value........    0.77034 	 	    0.27537 
KS Bootstrap p-value..      0.809 	 	      0.702 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -2.9429 
std mean diff.........    -36.062 	 	    -27.982 

mean raw eQQ diff.....    0.77081 	 	    0.66036 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........   0.090559 	 	   0.063636 
med  eCDF diff........   0.045455 	 	          0 
max  eCDF diff........    0.35664 	 	    0.27273 

var ratio (Tr/Co).....    0.95614 	 	     1.1285 
T-test p-value........    0.33166 	 	     0.1405 
KS Bootstrap p-value..      0.139 	 	      0.608 
KS Naive p-value......     0.2792 	 	    0.80792 
KS Statistic..........    0.35664 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     34.258 
std mean diff.........    -8.9051 	 	   -0.22288 

mean raw eQQ diff.....     3.9491 	 	     4.2225 
med  raw eQQ diff.....     3.0065 	 	     5.4441 
max  raw eQQ diff.....     13.667 	 	        8.5 

mean eCDF diff........   0.059543 	 	   0.081818 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	    0.86647 
T-test p-value........    0.80586 	 	    0.99245 
KS Bootstrap p-value..      0.874 	 	      0.738 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.27273 
std mean diff.........     3.4651 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.045455 
med  eCDF diff........  0.0087413 	 	   0.045455 
max  eCDF diff........   0.017483 	 	   0.090909 

var ratio (Tr/Co).....     1.0814 	 	     1.1667 
T-test p-value........    0.92344 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     14.636 
std mean diff.........    -7.9983 	 	     5.1189 

mean raw eQQ diff.....     2.7273 	 	     2.3636 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.056552 	 	   0.073864 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1822 	 	     1.3689 
T-test p-value........    0.82255 	 	    0.67457 
KS Bootstrap p-value..      0.804 	 	       0.96 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 

After Matching Minimum p.value: 0.11193 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.40643 
std mean diff.........      86.04 	 	     48.186 

mean raw eQQ diff.....    0.30222 	 	    0.17393 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.12587 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3518 
T-test p-value........   0.022431 	 	     0.1258 
KS Bootstrap p-value..       0.03 	 	      0.677 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0954 
std mean diff.........    -102.23 	 	    -57.384 

mean raw eQQ diff.....    0.97669 	 	    0.60268 
med  raw eQQ diff.....    0.61071 	 	    0.38162 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.11005 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.83773 
T-test p-value........   0.014791 	 	    0.11193 
KS Bootstrap p-value..      0.075 	 	      0.726 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.29784 
std mean diff.........     30.036 	 	     3.8718 

mean raw eQQ diff.....    0.12547 	 	    0.11248 
med  raw eQQ diff.....   0.075758 	 	   0.095238 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	   0.075758 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.8475 
T-test p-value........    0.36946 	 	    0.87879 
KS Bootstrap p-value..      0.697 	 	      0.937 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.37755 
std mean diff.........     30.408 	 	      6.586 

mean raw eQQ diff.....   0.093899 	 	   0.047811 
med  raw eQQ diff.....        0.1 	 	       0.05 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	   0.085859 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.80795 
T-test p-value........    0.41277 	 	    0.85935 
KS Bootstrap p-value..      0.044 	 	      0.722 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3891 
std mean diff.........    -61.379 	 	     19.247 

mean raw eQQ diff.....    0.70577 	 	    0.42027 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20779 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.39307 
T-test p-value........    0.23342 	 	    0.66692 
KS Bootstrap p-value..      0.284 	 	      0.169 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.29349 
std mean diff.........     10.704 	 	    -25.561 

mean raw eQQ diff.....   0.056021 	 	   0.091506 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.17033 

mean eCDF diff........   0.077379 	 	    0.11364 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.69272 
T-test p-value........    0.77034 	 	    0.27537 
KS Bootstrap p-value..      0.838 	 	      0.748 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.11193 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4064   0.5804   0.1739           0.1166   0.5166  1.4919         
ave.log.duration.prev5          2.0954   1.4927   -0.6027          0.3906   -0.5479 -1.5430        
ave.outcome.prev5               0.2978   0.3131   0.0152           0.0975   0.0441  0.1563         
ForceUS.prop.prev10             0.3775   0.3926   0.0151           0.0829   0.0623  0.1816         
ave.log.duration.prev10         2.3891   2.4882   0.0992           0.2257   0.1446  0.4395         
ave.outcome.prev10              0.2935   0.2423   -0.0512          0.0470   -0.2312 -1.0898        
---Overall Test---
      chisquare df p.value
strat      6.04  6   0.418
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     38 
$p.values
ForceUS     NPC 
  0.191   0.191 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.16842105 87.59298246 -0.01754386 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1869736 89.9195756  0.1123180 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
12.8000000  2.0876907 -0.7017544 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.5397247  1.7921870  0.4320388 

Closed Testing
Intersection 1 of 7 

*** primary struct.covs TRUE ***


Wed Apr 29 02:27:10 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.009227e-01  1.490070e-01  1.490070e-01  2.530627e-01  2.796751e-01  2.924977e-01  3.180355e-01  3.189527e-01  3.189527e-01  3.314751e-01  3.330710e-01  4.402327e-01  4.610718e-01  4.610718e-01  7.241808e-01  7.469670e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.943949e-01  9.628233e-01  9.718073e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	1.490070e-01  1.490070e-01  1.612352e-01  1.754100e-01  1.807208e-01  2.061652e-01  2.961150e-01  3.189527e-01  3.189527e-01  3.314751e-01  3.643960e-01  4.610718e-01  5.330730e-01  6.002756e-01  6.555064e-01  7.163233e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.268091e-01  8.943949e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	1.490070e-01  1.490070e-01  1.799566e-01  2.058362e-01  2.275041e-01  2.564747e-01  2.598143e-01  2.815902e-01  3.189527e-01  3.189527e-01  3.209720e-01  3.410988e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.814319e-01  5.100389e-01  6.605717e-01  6.796018e-01  6.808985e-01  7.469670e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      5 	1.490070e-01  1.490070e-01  2.058362e-01  2.306338e-01  2.598143e-01  2.928432e-01  3.180355e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.684170e-01  3.913406e-01  4.313829e-01  4.361763e-01  4.477208e-01  4.610718e-01  4.610718e-01  5.896829e-01  7.469670e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.971917e-01  9.933560e-01  9.933560e-01  9.954781e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.490070e-01  1.490070e-01  2.058362e-01  2.306338e-01  2.598143e-01  2.928432e-01  3.180355e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.684170e-01  3.913406e-01  4.313829e-01  4.361763e-01  4.477208e-01  4.610718e-01  4.610718e-01  5.896829e-01  7.469670e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.971917e-01  9.933560e-01  9.933560e-01  9.954781e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.900852e+02
 X[ 2] :	8.197687e+02
 X[ 3] :	8.297051e+02
 X[ 4] :	1.727935e+02
 X[ 5] :	1.737734e+02
 X[ 6] :	4.763805e+02
 X[ 7] :	8.885004e+02
 X[ 8] :	8.403091e+01
 X[ 9] :	7.068348e+02
 X[10] :	3.096560e+01
 X[11] :	3.214845e+01
 X[12] :	1.321079e+02
 X[13] :	4.330865e+00
 X[14] :	6.976858e+02
 X[15] :	6.387547e+02
 X[16] :	6.492766e+02
 X[17] :	8.205216e+02
 X[18] :	2.535506e+02

Solution Found Generation 5
Number of Generations Run 16

Wed Apr 29 03:03:25 2015
Total run time : 0 hours 36 minutes and 15 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5        Arthur         2          1
7       Wilson        15         13 Roosevelt, T.         9          7
8       Truman         6          4    Eisenhower        28         18
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	       1896 
std mean diff.........    -32.151 	 	    -7.7645 

mean raw eQQ diff.....     22.273 	 	     12.091 
med  raw eQQ diff.....         16 	 	          8 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.12758 	 	    0.07177 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     1.6592 	 	     1.0576 
T-test p-value........    0.35591 	 	    0.39134 
KS Bootstrap p-value..      0.134 	 	      0.966 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.27273 
std mean diff.........    -19.405 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	     1.1667 
T-test p-value........    0.59663 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.0131 
std mean diff.........    -26.764 	 	    -25.551 

mean raw eQQ diff.....    0.39031 	 	    0.61843 
med  raw eQQ diff.....     0.1431 	 	    0.46262 
max  raw eQQ diff.....     1.3863 	 	     1.3863 

mean eCDF diff........   0.093573 	 	    0.13986 
med  eCDF diff........   0.066434 	 	    0.18182 
max  eCDF diff........    0.26224 	 	    0.27273 

var ratio (Tr/Co).....     1.7416 	 	     2.0235 
T-test p-value........    0.43826 	 	    0.43138 
KS Bootstrap p-value..       0.45 	 	      0.661 
KS Naive p-value......    0.66243 	 	    0.80792 
KS Statistic..........    0.26224 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     7.6364 
std mean diff.........     -23.98 	 	    -18.473 

mean raw eQQ diff.....     1.9091 	 	     2.1818 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........    0.10233 	 	     0.1157 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	    0.88387 
T-test p-value........    0.51706 	 	    0.25981 
KS Bootstrap p-value..      0.518 	 	      0.644 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     5.1128 
std mean diff.........     24.214 	 	      21.42 

mean raw eQQ diff.....     1.2773 	 	    0.75092 
med  raw eQQ diff.....    0.77207 	 	    0.45722 
max  raw eQQ diff.....     4.1068 	 	     3.7755 

mean eCDF diff........    0.10537 	 	     0.1049 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.27273 

var ratio (Tr/Co).....    0.99228 	 	     1.1566 
T-test p-value........    0.50941 	 	    0.31804 
KS Bootstrap p-value..      0.607 	 	      0.628 
KS Naive p-value......    0.83366 	 	    0.80792 
KS Statistic..........    0.22378 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.47906 
std mean diff.........      86.04 	 	     28.065 

mean raw eQQ diff.....    0.30222 	 	     0.1013 
med  raw eQQ diff.....        0.3 	 	   0.095238 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.30594 	 	     0.1405 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	    0.66902 
T-test p-value........   0.022431 	 	    0.43618 
KS Bootstrap p-value..      0.024 	 	      0.627 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	      1.922 
std mean diff.........    -102.23 	 	    -40.872 

mean raw eQQ diff.....    0.97669 	 	    0.59083 
med  raw eQQ diff.....    0.61071 	 	    0.26995 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.21606 	 	    0.10795 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.18182 

var ratio (Tr/Co).....    0.64038 	 	    0.59738 
T-test p-value........   0.014791 	 	    0.29284 
KS Bootstrap p-value..      0.101 	 	      0.968 
KS Naive p-value......     0.1315 	 	    0.99336 
KS Statistic..........    0.41958 	 	    0.18182 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.31236 
std mean diff.........     30.036 	 	    0.17929 

mean raw eQQ diff.....    0.12547 	 	    0.16596 
med  raw eQQ diff.....   0.075758 	 	    0.16667 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.13636 
med  eCDF diff........    0.08042 	 	    0.18182 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	      2.316 
T-test p-value........    0.36946 	 	    0.99548 
KS Bootstrap p-value..      0.699 	 	      0.665 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.49852 
std mean diff.........     30.408 	 	    -46.324 

mean raw eQQ diff.....   0.093899 	 	     0.1961 
med  raw eQQ diff.....        0.1 	 	      0.125 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.14577 	 	    0.12121 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	     0.3114 
T-test p-value........    0.41277 	 	    0.44772 
KS Bootstrap p-value..      0.042 	 	      0.362 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.1947 
std mean diff.........    -61.379 	 	     56.967 

mean raw eQQ diff.....    0.70577 	 	    0.62219 
med  raw eQQ diff.....    0.50132 	 	    0.57161 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.15647 	 	    0.23737 
med  eCDF diff........    0.15909 	 	    0.27273 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.29786 
T-test p-value........    0.23342 	 	    0.36842 
KS Bootstrap p-value..      0.333 	 	      0.156 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.35387 
std mean diff.........     10.704 	 	    -55.705 

mean raw eQQ diff.....   0.056021 	 	     0.1262 
med  raw eQQ diff.....   0.045455 	 	   0.070513 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.077379 	 	    0.11189 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.96673 	 	    0.41915 
T-test p-value........    0.77034 	 	    0.23063 
KS Bootstrap p-value..      0.809 	 	      0.392 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -3.4574 
std mean diff.........    -36.062 	 	    -6.1821 

mean raw eQQ diff.....    0.77081 	 	    0.19242 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     1.8607 

mean eCDF diff........   0.090559 	 	   0.038961 
med  eCDF diff........   0.045455 	 	          0 
max  eCDF diff........    0.35664 	 	   0.090909 

var ratio (Tr/Co).....    0.95614 	 	    0.81989 
T-test p-value........    0.33166 	 	    0.74697 
KS Bootstrap p-value..      0.139 	 	      0.997 
KS Naive p-value......     0.2792 	 	          1 
KS Statistic..........    0.35664 	 	   0.090909 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     33.807 
std mean diff.........    -8.9051 	 	     2.0715 

mean raw eQQ diff.....     3.9491 	 	     5.1015 
med  raw eQQ diff.....     3.0065 	 	     5.7922 
max  raw eQQ diff.....     13.667 	 	     11.643 

mean eCDF diff........   0.059543 	 	   0.096257 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	    0.68249 
T-test p-value........    0.80586 	 	    0.89719 
KS Bootstrap p-value..      0.874 	 	      0.737 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.54545 
std mean diff.........     3.4651 	 	    -36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.090909 
med  eCDF diff........  0.0087413 	 	   0.090909 
max  eCDF diff........   0.017483 	 	    0.18182 

var ratio (Tr/Co).....     1.0814 	 	    0.93333 
T-test p-value........    0.92344 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     14.636 
std mean diff.........    -7.9983 	 	     5.1189 

mean raw eQQ diff.....     2.7273 	 	     3.4545 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	          7 

mean eCDF diff........   0.056552 	 	    0.11039 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.1822 	 	     1.4815 
T-test p-value........    0.82255 	 	    0.58968 
KS Bootstrap p-value..      0.804 	 	       0.69 
KS Naive p-value......    0.96032 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 9 

After Matching Minimum p.value: 0.14901 
Variable Name(s): South1.prev  Number(s): 17 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.47906 
std mean diff.........      86.04 	 	     28.065 

mean raw eQQ diff.....    0.30222 	 	     0.1013 
med  raw eQQ diff.....        0.3 	 	   0.095238 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.30594 	 	     0.1405 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	    0.66902 
T-test p-value........   0.022431 	 	    0.43618 
KS Bootstrap p-value..       0.03 	 	      0.653 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	      1.922 
std mean diff.........    -102.23 	 	    -40.872 

mean raw eQQ diff.....    0.97669 	 	    0.59083 
med  raw eQQ diff.....    0.61071 	 	    0.26995 
max  raw eQQ diff.....     2.3128 	 	     2.3128 

mean eCDF diff........    0.21606 	 	    0.10795 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.18182 

var ratio (Tr/Co).....    0.64038 	 	    0.59738 
T-test p-value........   0.014791 	 	    0.29284 
KS Bootstrap p-value..      0.075 	 	      0.974 
KS Naive p-value......     0.1315 	 	    0.99336 
KS Statistic..........    0.41958 	 	    0.18182 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.31236 
std mean diff.........     30.036 	 	    0.17929 

mean raw eQQ diff.....    0.12547 	 	    0.16596 
med  raw eQQ diff.....   0.075758 	 	    0.16667 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.13636 
med  eCDF diff........    0.08042 	 	    0.18182 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	      2.316 
T-test p-value........    0.36946 	 	    0.99548 
KS Bootstrap p-value..      0.697 	 	      0.654 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.49852 
std mean diff.........     30.408 	 	    -46.324 

mean raw eQQ diff.....   0.093899 	 	     0.1961 
med  raw eQQ diff.....        0.1 	 	      0.125 
max  raw eQQ diff.....    0.16667 	 	    0.59259 

mean eCDF diff........    0.14577 	 	    0.12121 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	     0.3114 
T-test p-value........    0.41277 	 	    0.44772 
KS Bootstrap p-value..      0.044 	 	        0.4 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.1947 
std mean diff.........    -61.379 	 	     56.967 

mean raw eQQ diff.....    0.70577 	 	    0.62219 
med  raw eQQ diff.....    0.50132 	 	    0.57161 
max  raw eQQ diff.....     1.8581 	 	     1.4895 

mean eCDF diff........    0.15647 	 	    0.23737 
med  eCDF diff........    0.15909 	 	    0.27273 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.29786 
T-test p-value........    0.23342 	 	    0.36842 
KS Bootstrap p-value..      0.284 	 	      0.143 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.35387 
std mean diff.........     10.704 	 	    -55.705 

mean raw eQQ diff.....   0.056021 	 	     0.1262 
med  raw eQQ diff.....   0.045455 	 	   0.070513 
max  raw eQQ diff.....    0.11429 	 	    0.46429 

mean eCDF diff........   0.077379 	 	    0.11189 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.36364 

var ratio (Tr/Co).....    0.96673 	 	    0.41915 
T-test p-value........    0.77034 	 	    0.23063 
KS Bootstrap p-value..      0.838 	 	      0.368 
KS Naive p-value......    0.96658 	 	    0.46107 
KS Statistic..........    0.17832 	 	    0.36364 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.143 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata     strat                                                                   
                        stat    South1=0  South1=1  adj.diff adj.diff.null.sd  std.diff      z             
vars                                                                                                       
ForceUS.prop.prev5             0.479059  0.580362  0.101303         0.128573  0.251291  0.787900           
ave.log.duration.prev5         1.921999  1.492729  -0.429270        0.407705  -0.353482 -1.052891          
ave.outcome.prev5              0.312360  0.313066  0.000705         0.121377  0.002119  0.005811           
ForceUS.prop.prev10            0.498524  0.392606  -0.105918        0.137784  -0.319237 -0.768723          
ave.log.duration.prev10        2.194684  2.488226  0.293542         0.323957  0.385948  0.906114           
ave.outcome.prev10             0.353873  0.242291  -0.111582        0.093665  -0.428137 -1.191291          
---Overall Test---
      chisquare df p.value
strat      7.74  6   0.257
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
      6 
$p.values
ForceUS     NPC 
  0.885   0.885 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.09450030 75.48929627  0.03429923 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.05866129 96.25500131 -0.12382920 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  8.694027   1.851135   3.873684 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.6730999  1.8699752  0.3935746 

Closed Testing
Intersection 1 of 7 

*** primary party.covs FALSE ***


Wed Apr 29 05:27:29 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	6.475207e-02  7.111477e-02  8.674360e-02  9.009005e-02  9.009005e-02  1.300098e-01  2.058362e-01  2.842296e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.060959e-01  4.204759e-01  4.610718e-01  4.610718e-01  5.001680e-01  5.063958e-01  5.912754e-01  6.113281e-01  7.992372e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.448229e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	9.009005e-02  9.009005e-02  1.057224e-01  1.766219e-01  2.058362e-01  2.475259e-01  2.879042e-01  3.127041e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.559047e-01  3.837207e-01  4.610718e-01  4.610718e-01  5.706690e-01  5.706690e-01  6.134461e-01  6.626770e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.202994e-01  8.325877e-01  8.566628e-01  8.623889e-01  9.588571e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

      2 	9.009005e-02  9.009005e-02  1.274579e-01  1.496221e-01  2.058362e-01  2.149176e-01  2.470320e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.302719e-01  3.946551e-01  4.360523e-01  4.610718e-01  5.706690e-01  5.706690e-01  6.460185e-01  6.613776e-01  6.613776e-01  6.875122e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.509087e-01  8.603190e-01  8.633512e-01  9.925208e-01  9.933560e-01  9.933560e-01  

      3 	1.057224e-01  1.431988e-01  1.688913e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.879042e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.467380e-01  4.610718e-01  5.456791e-01  5.706690e-01  5.706690e-01  6.013720e-01  6.140064e-01  6.342183e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.566628e-01  8.875361e-01  9.588571e-01  9.757198e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.057224e-01  1.431988e-01  1.688913e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.879042e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.467380e-01  4.610718e-01  5.456791e-01  5.706690e-01  5.706690e-01  6.013720e-01  6.140064e-01  6.342183e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.566628e-01  8.875361e-01  9.588571e-01  9.757198e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  

Parameters at the Solution:

 X[ 1] :	8.258144e+02
 X[ 2] :	4.148290e+01
 X[ 3] :	9.028181e+01
 X[ 4] :	7.002180e+01
 X[ 5] :	5.359479e+02
 X[ 6] :	5.592597e+02
 X[ 7] :	2.570215e+02
 X[ 8] :	8.984862e+02
 X[ 9] :	3.729176e+02
 X[10] :	1.367551e+02
 X[11] :	1.734886e+02
 X[12] :	1.869605e+02
 X[13] :	9.067987e+02
 X[14] :	1.552184e+02
 X[15] :	5.318169e+01
 X[16] :	4.139851e+02
 X[17] :	8.741054e+02
 X[18] :	1.325604e+02
 X[19] :	2.925268e+02
 X[20] :	6.254786e+01

Solution Found Generation 3
Number of Generations Run 14

Wed Apr 29 06:07:52 2015
Total run time : 0 hours 40 minutes and 23 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6         Grant         7          6
3      Jackson         4          4        Hoover         1          0
4        Tyler         2          2     Van Buren         4          4
5         Polk         1          1      Buchanan         6          5
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7          Ford         4          4
11     Clinton        24         10      Coolidge         1          1

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.27273 
std mean diff.........     11.088 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.027972 	 	   0.045455 
med  eCDF diff........   0.027972 	 	   0.045455 
max  eCDF diff........   0.055944 	 	   0.090909 

var ratio (Tr/Co).....      1.149 	 	     1.1667 
T-test p-value........    0.75688 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1909.3 
std mean diff.........    -32.151 	 	    -26.978 

mean raw eQQ diff.....     22.273 	 	     21.727 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         58 

mean eCDF diff........    0.12758 	 	    0.11157 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     1.6592 	 	     1.3549 
T-test p-value........    0.35591 	 	    0.16889 
KS Bootstrap p-value..      0.134 	 	      0.769 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.27273 
std mean diff.........    -19.405 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	     1.1667 
T-test p-value........    0.59663 	 	    0.57067 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.0391 
std mean diff.........    -26.764 	 	    -27.509 

mean raw eQQ diff.....    0.39031 	 	    0.50549 
med  raw eQQ diff.....     0.1431 	 	    0.29849 
max  raw eQQ diff.....     1.3863 	 	     1.6094 

mean eCDF diff........   0.093573 	 	    0.10303 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.27273 

var ratio (Tr/Co).....     1.7416 	 	     1.8748 
T-test p-value........    0.43826 	 	    0.34674 
KS Bootstrap p-value..       0.45 	 	      0.697 
KS Naive p-value......    0.66243 	 	    0.80792 
KS Statistic..........    0.26224 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     7.2727 
std mean diff.........     -23.98 	 	    -12.316 

mean raw eQQ diff.....     1.9091 	 	     1.4545 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........    0.10233 	 	   0.097902 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	      1.096 
T-test p-value........    0.51706 	 	    0.61401 
KS Bootstrap p-value..      0.518 	 	      0.687 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     5.1775 
std mean diff.........     24.214 	 	     18.743 

mean raw eQQ diff.....     1.2773 	 	     1.3408 
med  raw eQQ diff.....    0.77207 	 	     1.0732 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	    0.11515 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.27273 

var ratio (Tr/Co).....    0.99228 	 	    0.62851 
T-test p-value........    0.50941 	 	    0.63422 
KS Bootstrap p-value..      0.607 	 	      0.661 
KS Naive p-value......    0.83366 	 	    0.80792 
KS Statistic..........    0.22378 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.38371 
std mean diff.........      86.04 	 	     54.482 

mean raw eQQ diff.....    0.30222 	 	    0.19665 
med  raw eQQ diff.....        0.3 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.15385 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3378 
T-test p-value........   0.022431 	 	    0.10572 
KS Bootstrap p-value..      0.024 	 	      0.697 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	      2.052 
std mean diff.........    -102.23 	 	    -53.252 

mean raw eQQ diff.....    0.97669 	 	    0.57849 
med  raw eQQ diff.....    0.61071 	 	    0.26995 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	   0.081818 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	     1.2655 
T-test p-value........   0.014791 	 	     0.1432 
KS Bootstrap p-value..      0.101 	 	      0.776 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.26753 
std mean diff.........     30.036 	 	     11.575 

mean raw eQQ diff.....    0.12547 	 	    0.12763 
med  raw eQQ diff.....   0.075758 	 	   0.083333 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     2.3273 
T-test p-value........    0.36946 	 	    0.54568 
KS Bootstrap p-value..      0.699 	 	      0.932 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.40945 
std mean diff.........     30.408 	 	    -7.3649 

mean raw eQQ diff.....   0.093899 	 	   0.068093 
med  raw eQQ diff.....        0.1 	 	   0.053571 
max  raw eQQ diff.....    0.16667 	 	    0.18421 

mean eCDF diff........    0.14577 	 	    0.10048 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.71817 
T-test p-value........    0.41277 	 	    0.85666 
KS Bootstrap p-value..      0.042 	 	      0.742 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.5308 
std mean diff.........    -61.379 	 	    -8.2558 

mean raw eQQ diff.....    0.70577 	 	    0.59543 
med  raw eQQ diff.....    0.50132 	 	    0.59293 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20346 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.24607 
T-test p-value........    0.23342 	 	    0.88754 
KS Bootstrap p-value..      0.333 	 	      0.161 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.26086 
std mean diff.........     10.704 	 	    -9.2717 

mean raw eQQ diff.....   0.056021 	 	   0.066958 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.077379 	 	   0.073864 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	    0.69406 
T-test p-value........    0.77034 	 	    0.60137 
KS Bootstrap p-value..      0.809 	 	      0.972 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -2.6217 
std mean diff.........    -36.062 	 	    -41.593 

mean raw eQQ diff.....    0.77081 	 	    0.98158 
med  raw eQQ diff.....          0 	 	     1.2586 
max  raw eQQ diff.....     4.1458 	 	     2.2791 

mean eCDF diff........   0.090559 	 	    0.10909 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.35664 	 	    0.36364 

var ratio (Tr/Co).....    0.95614 	 	     1.3609 
T-test p-value........    0.33166 	 	     0.2879 
KS Bootstrap p-value..      0.139 	 	      0.287 
KS Naive p-value......     0.2792 	 	    0.46107 
KS Statistic..........    0.35664 	 	    0.36364 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     34.326 
std mean diff.........    -8.9051 	 	   -0.56673 

mean raw eQQ diff.....     3.9491 	 	     3.5073 
med  raw eQQ diff.....     3.0065 	 	     3.1494 
max  raw eQQ diff.....     13.667 	 	        8.5 

mean eCDF diff........   0.059543 	 	   0.068182 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.18182 

var ratio (Tr/Co).....     1.0491 	 	    0.89392 
T-test p-value........    0.80586 	 	    0.97572 
KS Bootstrap p-value..      0.874 	 	      0.976 
KS Naive p-value......    0.97217 	 	    0.99336 
KS Statistic..........    0.17483 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.27273 
std mean diff.........     3.4651 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.045455 
med  eCDF diff........  0.0087413 	 	   0.045455 
max  eCDF diff........   0.017483 	 	   0.090909 

var ratio (Tr/Co).....     1.0814 	 	     1.1667 
T-test p-value........    0.92344 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     15.545 
std mean diff.........    -7.9983 	 	    -1.2797 

mean raw eQQ diff.....     2.7273 	 	     2.5455 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.056552 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1822 	 	     1.3895 
T-test p-value........    0.82255 	 	    0.95886 
KS Bootstrap p-value..      0.804 	 	      0.952 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.63636 
std mean diff.........     199.46 	 	     90.453 

mean raw eQQ diff.....    0.63636 	 	    0.27273 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	    0.13636 
med  eCDF diff........     0.3007 	 	    0.13636 
max  eCDF diff........     0.6014 	 	    0.27273 

var ratio (Tr/Co).....    0.41035 	 	    0.35714 
T-test p-value........ 6.8831e-05 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.10572 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.38371 
std mean diff.........      86.04 	 	     54.482 

mean raw eQQ diff.....    0.30222 	 	    0.19665 
med  raw eQQ diff.....        0.3 	 	    0.16667 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.15385 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3378 
T-test p-value........   0.022431 	 	    0.10572 
KS Bootstrap p-value..       0.03 	 	      0.672 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	      2.052 
std mean diff.........    -102.23 	 	    -53.252 

mean raw eQQ diff.....    0.97669 	 	    0.57849 
med  raw eQQ diff.....    0.61071 	 	    0.26995 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	   0.081818 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	     1.2655 
T-test p-value........   0.014791 	 	     0.1432 
KS Bootstrap p-value..      0.075 	 	      0.754 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.26753 
std mean diff.........     30.036 	 	     11.575 

mean raw eQQ diff.....    0.12547 	 	    0.12763 
med  raw eQQ diff.....   0.075758 	 	   0.083333 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     2.3273 
T-test p-value........    0.36946 	 	    0.54568 
KS Bootstrap p-value..      0.697 	 	       0.94 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.40945 
std mean diff.........     30.408 	 	    -7.3649 

mean raw eQQ diff.....   0.093899 	 	   0.068093 
med  raw eQQ diff.....        0.1 	 	   0.053571 
max  raw eQQ diff.....    0.16667 	 	    0.18421 

mean eCDF diff........    0.14577 	 	    0.10048 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.71817 
T-test p-value........    0.41277 	 	    0.85666 
KS Bootstrap p-value..      0.044 	 	      0.724 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.5308 
std mean diff.........    -61.379 	 	    -8.2558 

mean raw eQQ diff.....    0.70577 	 	    0.59543 
med  raw eQQ diff.....    0.50132 	 	    0.59293 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20346 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.24607 
T-test p-value........    0.23342 	 	    0.88754 
KS Bootstrap p-value..      0.284 	 	      0.158 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.26086 
std mean diff.........     10.704 	 	    -9.2717 

mean raw eQQ diff.....   0.056021 	 	   0.066958 
med  raw eQQ diff.....   0.045455 	 	   0.071429 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.077379 	 	   0.073864 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	    0.69406 
T-test p-value........    0.77034 	 	    0.60137 
KS Bootstrap p-value..      0.838 	 	      0.964 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.10572 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3837   0.5804   0.1967           0.1255   0.5829  1.5672         
ave.log.duration.prev5          2.0520   1.4927   -0.5593          0.3903   -0.5629 -1.4328        
ave.outcome.prev5               0.2675   0.3131   0.0455           0.0741   0.1369  0.6146         
ForceUS.prop.prev10             0.4094   0.3926   -0.0168          0.0910   -0.0673 -0.1851        
ave.log.duration.prev10         2.5308   2.4882   -0.0425          0.2935   -0.0519 -0.1449        
ave.outcome.prev10              0.2609   0.2423   -0.0186          0.0349   -0.0839 -0.5325        
---Overall Test---
      chisquare df p.value
strat       4.8  6   0.569
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     39 
$p.values
ForceUS     NPC 
  0.235   0.235 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.12800752 91.50996241  0.01503759 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.08596353 83.06098977  0.05171192 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  9.664568   1.807796   1.603665 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.0971081  1.9334131  0.5718303 

Closed Testing
Intersection 1 of 7 

*** primary party.covs TRUE ***


Wed Apr 29 08:30:06 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	8.036414e-02  1.063700e-01  1.226449e-01  1.490070e-01  1.490070e-01  1.601184e-01  1.965580e-01  2.058362e-01  2.058362e-01  2.619378e-01  3.013103e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.554695e-01  3.623213e-01  4.610718e-01  5.448441e-01  5.498382e-01  7.638769e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.141855e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      1 	8.574816e-02  1.123297e-01  1.171940e-01  1.394238e-01  1.490070e-01  1.490070e-01  1.496481e-01  1.594339e-01  1.755647e-01  2.058362e-01  2.471360e-01  2.732888e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.910803e-01  8.046591e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.373624e-01  8.839868e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
8.574816e-02  1.123297e-01  1.171940e-01  1.394238e-01  1.490070e-01  1.490070e-01  1.496481e-01  1.594339e-01  1.755647e-01  2.058362e-01  2.471360e-01  2.732888e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.910803e-01  8.046591e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.373624e-01  8.839868e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.277929e+02
 X[ 2] :	5.098244e+02
 X[ 3] :	6.198709e+02
 X[ 4] :	1.849317e+02
 X[ 5] :	7.157019e+02
 X[ 6] :	1.926933e+02
 X[ 7] :	6.087583e+00
 X[ 8] :	6.264080e+01
 X[ 9] :	6.085640e+02
 X[10] :	9.861355e+02
 X[11] :	1.650738e+02
 X[12] :	1.768859e+01
 X[13] :	2.689085e+02
 X[14] :	8.534316e+02
 X[15] :	7.120810e+02
 X[16] :	7.869243e+02
 X[17] :	6.556359e+02
 X[18] :	8.765046e+02
 X[19] :	5.322537e+02
 X[20] :	1.693388e+02

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 29 09:00:21 2015
Total run time : 0 hours 30 minutes and 15 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1  Adams, J. Q.         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Fillmore         3          3
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7       Kennedy         9          3
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1901.1 
std mean diff.........    -32.151 	 	    -15.134 

mean raw eQQ diff.....     22.273 	 	     12.273 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         24 

mean eCDF diff........    0.12758 	 	   0.066986 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     1.6592 	 	    0.88092 
T-test p-value........    0.35591 	 	    0.11719 
KS Bootstrap p-value..      0.134 	 	       0.98 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.45455 
std mean diff.........    -19.405 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	    0.93333 
T-test p-value........    0.59663 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.1852 
std mean diff.........    -26.764 	 	    -38.525 

mean raw eQQ diff.....    0.39031 	 	    0.66747 
med  raw eQQ diff.....     0.1431 	 	    0.31015 
max  raw eQQ diff.....     1.3863 	 	     2.1972 

mean eCDF diff........   0.093573 	 	    0.13223 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.36364 

var ratio (Tr/Co).....     1.7416 	 	     2.1667 
T-test p-value........    0.43826 	 	    0.24714 
KS Bootstrap p-value..       0.45 	 	      0.328 
KS Naive p-value......    0.66243 	 	    0.46107 
KS Statistic..........    0.26224 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     8.6364 
std mean diff.........     -23.98 	 	    -35.407 

mean raw eQQ diff.....     1.9091 	 	     3.1818 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          9 

mean eCDF diff........    0.10233 	 	    0.13287 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	    0.56746 
T-test p-value........    0.51706 	 	    0.17556 
KS Bootstrap p-value..      0.518 	 	      0.677 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     4.9461 
std mean diff.........     24.214 	 	     28.316 

mean raw eQQ diff.....     1.2773 	 	     1.5723 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	    0.14685 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.36364 

var ratio (Tr/Co).....    0.99228 	 	    0.60462 
T-test p-value........    0.50941 	 	    0.49108 
KS Bootstrap p-value..      0.607 	 	      0.331 
KS Naive p-value......    0.83366 	 	    0.46107 
KS Statistic..........    0.22378 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.43734 
std mean diff.........      86.04 	 	     39.623 

mean raw eQQ diff.....    0.30222 	 	    0.14302 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	    0.15455 
med  eCDF diff........    0.31119 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.36364 

var ratio (Tr/Co).....     1.5688 	 	    0.70939 
T-test p-value........   0.022431 	 	    0.13942 
KS Bootstrap p-value..      0.024 	 	      0.351 
KS Naive p-value......   0.063838 	 	    0.46107 
KS Statistic..........    0.47203 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1472 
std mean diff.........    -102.23 	 	    -62.314 

mean raw eQQ diff.....    0.97669 	 	    0.73969 
med  raw eQQ diff.....    0.61071 	 	    0.26135 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.096257 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.62718 
T-test p-value........   0.014791 	 	    0.11233 
KS Bootstrap p-value..      0.101 	 	      0.738 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.20976 
std mean diff.........     30.036 	 	     26.261 

mean raw eQQ diff.....    0.12547 	 	    0.13388 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     3.4197 
T-test p-value........    0.36946 	 	    0.15943 
KS Bootstrap p-value..      0.699 	 	       0.67 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.51765 
std mean diff.........     30.408 	 	    -54.688 

mean raw eQQ diff.....   0.093899 	 	    0.18614 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.18182 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.39748 
T-test p-value........    0.41277 	 	    0.14965 
KS Bootstrap p-value..      0.042 	 	      0.383 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4438 
std mean diff.........    -61.379 	 	     8.6195 

mean raw eQQ diff.....    0.70577 	 	    0.68415 
med  raw eQQ diff.....    0.50132 	 	    0.71029 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.21024 
T-test p-value........    0.23342 	 	    0.88399 
KS Bootstrap p-value..      0.333 	 	      0.159 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.31644 
std mean diff.........     10.704 	 	    -37.018 

mean raw eQQ diff.....   0.056021 	 	    0.10144 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.077379 	 	    0.11688 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.47985 
T-test p-value........    0.77034 	 	   0.085748 
KS Bootstrap p-value..      0.809 	 	      0.707 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -3.7259 
std mean diff.........    -36.062 	 	     5.1982 

mean raw eQQ diff.....    0.77081 	 	    0.23303 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     1.0264 

mean eCDF diff........   0.090559 	 	   0.036364 
med  eCDF diff........   0.045455 	 	          0 
max  eCDF diff........    0.35664 	 	   0.090909 

var ratio (Tr/Co).....    0.95614 	 	    0.99476 
T-test p-value........    0.33166 	 	    0.83736 
KS Bootstrap p-value..      0.139 	 	          1 
KS Naive p-value......     0.2792 	 	          1 
KS Statistic..........    0.35664 	 	   0.090909 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     31.129 
std mean diff.........    -8.9051 	 	     15.699 

mean raw eQQ diff.....     3.9491 	 	     4.5854 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     13.667 	 	         14 

mean eCDF diff........   0.059543 	 	    0.13068 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	    0.96218 
T-test p-value........    0.80586 	 	    0.27329 
KS Bootstrap p-value..      0.874 	 	      0.727 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.54545 
std mean diff.........     3.4651 	 	    -36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.090909 
med  eCDF diff........  0.0087413 	 	   0.090909 
max  eCDF diff........   0.017483 	 	    0.18182 

var ratio (Tr/Co).....     1.0814 	 	    0.93333 
T-test p-value........    0.92344 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     16.091 
std mean diff.........    -7.9983 	 	    -5.1189 

mean raw eQQ diff.....     2.7273 	 	     4.1818 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	         19 

mean eCDF diff........   0.056552 	 	   0.097403 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.1822 	 	    0.95897 
T-test p-value........    0.82255 	 	    0.80466 
KS Bootstrap p-value..      0.804 	 	      0.704 
KS Naive p-value......    0.96032 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.81818 
std mean diff.........     199.46 	 	     30.151 

mean raw eQQ diff.....    0.63636 	 	   0.090909 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	   0.045455 
med  eCDF diff........     0.3007 	 	   0.045455 
max  eCDF diff........     0.6014 	 	   0.090909 

var ratio (Tr/Co).....    0.41035 	 	    0.55556 
T-test p-value........ 6.8831e-05 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	   0.090909 
std mean diff.........     17.395 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.026224 	 	          0 
med  eCDF diff........   0.026224 	 	          0 
max  eCDF diff........   0.052448 	 	          0 

var ratio (Tr/Co).....     2.3636 	 	          1 
T-test p-value........    0.60369 	 	          1 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.085748 
Variable Name(s): ave.outcome.prev10  Number(s): 13 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.43734 
std mean diff.........      86.04 	 	     39.623 

mean raw eQQ diff.....    0.30222 	 	    0.14302 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	    0.15455 
med  eCDF diff........    0.31119 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.36364 

var ratio (Tr/Co).....     1.5688 	 	    0.70939 
T-test p-value........   0.022431 	 	    0.13942 
KS Bootstrap p-value..       0.03 	 	      0.371 
KS Naive p-value......   0.063838 	 	    0.46107 
KS Statistic..........    0.47203 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1472 
std mean diff.........    -102.23 	 	    -62.314 

mean raw eQQ diff.....    0.97669 	 	    0.73969 
med  raw eQQ diff.....    0.61071 	 	    0.26135 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.096257 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.62718 
T-test p-value........   0.014791 	 	    0.11233 
KS Bootstrap p-value..      0.075 	 	      0.708 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.20976 
std mean diff.........     30.036 	 	     26.261 

mean raw eQQ diff.....    0.12547 	 	    0.13388 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     3.4197 
T-test p-value........    0.36946 	 	    0.15943 
KS Bootstrap p-value..      0.697 	 	      0.659 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.51765 
std mean diff.........     30.408 	 	    -54.688 

mean raw eQQ diff.....   0.093899 	 	    0.18614 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.18182 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.39748 
T-test p-value........    0.41277 	 	    0.14965 
KS Bootstrap p-value..      0.044 	 	      0.406 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4438 
std mean diff.........    -61.379 	 	     8.6195 

mean raw eQQ diff.....    0.70577 	 	    0.68415 
med  raw eQQ diff.....    0.50132 	 	    0.71029 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.21024 
T-test p-value........    0.23342 	 	    0.88399 
KS Bootstrap p-value..      0.284 	 	       0.16 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.31644 
std mean diff.........     10.704 	 	    -37.018 

mean raw eQQ diff.....   0.056021 	 	    0.10144 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.077379 	 	    0.11688 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.47985 
T-test p-value........    0.77034 	 	   0.085748 
KS Bootstrap p-value..      0.838 	 	      0.736 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.085748 
Variable Name(s): ave.outcome.prev10  Number(s): 6 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4373   0.5804   0.1430           0.0990   0.3610  1.4452         
ave.log.duration.prev5          2.1472   1.4927   -0.6545          0.4246   -0.5471 -1.5414        
ave.outcome.prev5               0.2098   0.3131   0.1033           0.0748   0.3267  1.3819         
ForceUS.prop.prev10             0.5176   0.3926   -0.1250          0.0885   -0.4125 -1.4122        
ave.log.duration.prev10         2.4438   2.4882   0.0444           0.2970   0.0508  0.1495         
ave.outcome.prev10              0.3164   0.2423   -0.0741          0.0449   -0.2981 -1.6526 .      
---Overall Test---
      chisquare df p.value
strat      6.47  6   0.373
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     20 
$p.values
ForceUS     NPC 
  0.212   0.212 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.01824561 72.58877193  0.01122807 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
-0.005486685 80.000022957 -0.041000918 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.550877   1.059456   1.562807 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.5372738  1.4571843  0.5153627 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs FALSE ***


Wed Apr 29 11:08:17 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	8.428014e-02  9.009005e-02  9.009005e-02  1.040799e-01  1.187876e-01  1.201147e-01  1.456042e-01  1.490070e-01  1.490070e-01  2.058362e-01  2.917574e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.480460e-01  3.888662e-01  4.192428e-01  4.192428e-01  4.364784e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.791504e-01  5.040126e-01  5.887705e-01  8.079242e-01  8.079242e-01  8.312888e-01  8.317157e-01  8.765014e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  

      1 	1.219576e-01  1.478401e-01  1.490070e-01  1.490070e-01  1.727961e-01  1.730998e-01  1.730998e-01  1.878528e-01  2.020389e-01  2.497045e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.655124e-01  4.610718e-01  4.610718e-01  4.846664e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  6.869782e-01  7.022163e-01  7.820690e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.312888e-01  8.325877e-01  8.791048e-01  8.986951e-01  9.177841e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.219576e-01  1.478401e-01  1.490070e-01  1.490070e-01  1.727961e-01  1.730998e-01  1.730998e-01  1.878528e-01  2.020389e-01  2.497045e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.655124e-01  4.610718e-01  4.610718e-01  4.846664e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  6.869782e-01  7.022163e-01  7.820690e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.312888e-01  8.325877e-01  8.791048e-01  8.986951e-01  9.177841e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	7.159693e+02
 X[ 2] :	1.573527e+02
 X[ 3] :	2.496625e+02
 X[ 4] :	6.524819e+02
 X[ 5] :	1.259799e+02
 X[ 6] :	1.700715e+02
 X[ 7] :	4.035794e+02
 X[ 8] :	1.893187e+02
 X[ 9] :	2.825063e+02
 X[10] :	7.989867e+02
 X[11] :	3.341220e+02
 X[12] :	9.764993e+02
 X[13] :	3.772544e+02
 X[14] :	2.427618e+02
 X[15] :	6.016303e+02
 X[16] :	7.989927e+01
 X[17] :	1.044035e+02
 X[18] :	1.204396e+02
 X[19] :	5.243808e+02
 X[20] :	2.552809e+02
 X[21] :	5.555810e+02
 X[22] :	8.960503e+02

Solution Found Generation 1
Number of Generations Run 12

Wed Apr 29 11:43:09 2015
Total run time : 0 hours 34 minutes and 52 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6 Roosevelt, T.         9          7
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Buchanan         6          5
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4       Kennedy         9          3
9  Johnson, L.        22         15         Obama         4          3
10      Carter         9          7      McKinley         3          1
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.63636 
std mean diff.........    -23.434 	 	    -34.816 

mean raw eQQ diff.....   0.090909 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.090909 
med  eCDF diff........   0.061189 	 	   0.090909 
max  eCDF diff........    0.12238 	 	    0.18182 

var ratio (Tr/Co).....     1.0744 	 	     1.0714 
T-test p-value........    0.51853 	 	    0.14901 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.27273 
std mean diff.........     11.088 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.027972 	 	   0.045455 
med  eCDF diff........   0.027972 	 	   0.045455 
max  eCDF diff........   0.055944 	 	   0.090909 

var ratio (Tr/Co).....      1.149 	 	     1.1667 
T-test p-value........    0.75688 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1912.3 
std mean diff.........    -32.151 	 	    -31.321 

mean raw eQQ diff.....     22.273 	 	     24.182 
med  raw eQQ diff.....         16 	 	         20 
max  raw eQQ diff.....         44 	 	         52 

mean eCDF diff........    0.12758 	 	    0.11157 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     1.6592 	 	     1.2639 
T-test p-value........    0.35591 	 	     0.1728 
KS Bootstrap p-value..      0.134 	 	      0.767 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.3287 
std mean diff.........    -26.764 	 	    -49.343 

mean raw eQQ diff.....    0.39031 	 	    0.68378 
med  raw eQQ diff.....     0.1431 	 	    0.27193 
max  raw eQQ diff.....     1.3863 	 	     2.1972 

mean eCDF diff........   0.093573 	 	    0.13939 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.36364 

var ratio (Tr/Co).....     1.7416 	 	      1.937 
T-test p-value........    0.43826 	 	    0.20204 
KS Bootstrap p-value..       0.45 	 	      0.351 
KS Naive p-value......    0.66243 	 	    0.46107 
KS Statistic..........    0.26224 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     7.8182 
std mean diff.........     -23.98 	 	    -21.552 

mean raw eQQ diff.....     1.9091 	 	     2.1818 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          8 

mean eCDF diff........    0.10233 	 	     0.1039 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	    0.78607 
T-test p-value........    0.51706 	 	    0.48467 
KS Bootstrap p-value..      0.518 	 	      0.704 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     5.5379 
std mean diff.........     24.214 	 	     3.8393 

mean raw eQQ diff.....     1.2773 	 	    0.99683 
med  raw eQQ diff.....    0.77207 	 	    0.53114 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	   0.097403 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.18182 

var ratio (Tr/Co).....    0.99228 	 	     0.6518 
T-test p-value........    0.50941 	 	    0.91778 
KS Bootstrap p-value..      0.607 	 	      0.955 
KS Naive p-value......    0.83366 	 	    0.99336 
KS Statistic..........    0.22378 	 	    0.18182 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.40249 
std mean diff.........      86.04 	 	     49.277 

mean raw eQQ diff.....    0.30222 	 	    0.17787 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.15152 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3636 
T-test p-value........   0.022431 	 	    0.12196 
KS Bootstrap p-value..      0.024 	 	      0.686 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1406 
std mean diff.........    -102.23 	 	    -61.687 

mean raw eQQ diff.....    0.97669 	 	    0.64788 
med  raw eQQ diff.....    0.61071 	 	     0.3905 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.10909 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	     1.0746 
T-test p-value........   0.014791 	 	    0.14784 
KS Bootstrap p-value..      0.101 	 	      0.776 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	     0.2431 
std mean diff.........     30.036 	 	     17.787 

mean raw eQQ diff.....    0.12547 	 	   0.091457 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	    0.06993 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.9565 
T-test p-value........    0.36946 	 	    0.18785 
KS Bootstrap p-value..      0.699 	 	      0.954 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.37093 
std mean diff.........     30.408 	 	      9.479 

mean raw eQQ diff.....   0.093899 	 	   0.054426 
med  raw eQQ diff.....        0.1 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	   0.085859 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.78683 
T-test p-value........    0.41277 	 	    0.70222 
KS Bootstrap p-value..      0.042 	 	      0.727 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4597 
std mean diff.........    -61.379 	 	     5.5325 

mean raw eQQ diff.....    0.70577 	 	    0.39762 
med  raw eQQ diff.....    0.50132 	 	    0.27428 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.16883 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.36364 

var ratio (Tr/Co).....    0.23294 	 	     0.3956 
T-test p-value........    0.23342 	 	     0.8987 
KS Bootstrap p-value..      0.333 	 	      0.388 
KS Naive p-value......    0.45707 	 	    0.46107 
KS Statistic..........    0.30769 	 	    0.36364 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.25496 
std mean diff.........     10.704 	 	    -6.3225 

mean raw eQQ diff.....   0.056021 	 	    0.07002 
med  raw eQQ diff.....   0.045455 	 	   0.069697 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.077379 	 	   0.090909 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	    0.64275 
T-test p-value........    0.77034 	 	    0.68698 
KS Bootstrap p-value..      0.809 	 	      0.977 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.57067 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -3.4182 
std mean diff.........    -36.062 	 	    -7.8429 

mean raw eQQ diff.....    0.77081 	 	    0.72125 
med  raw eQQ diff.....          0 	 	    0.60692 
max  raw eQQ diff.....     4.1458 	 	      2.019 

mean eCDF diff........   0.090559 	 	   0.081818 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.35664 	 	    0.27273 

var ratio (Tr/Co).....    0.95614 	 	    0.69116 
T-test p-value........    0.33166 	 	    0.78207 
KS Bootstrap p-value..      0.139 	 	      0.589 
KS Naive p-value......     0.2792 	 	    0.80792 
KS Statistic..........    0.35664 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     28.409 
std mean diff.........    -8.9051 	 	     29.532 

mean raw eQQ diff.....     3.9491 	 	     6.5697 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     13.667 	 	     21.071 

mean eCDF diff........   0.059543 	 	    0.11483 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	     1.6109 
T-test p-value........    0.80586 	 	     0.2497 
KS Bootstrap p-value..      0.874 	 	      0.729 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.27273 
std mean diff.........     3.4651 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.045455 
med  eCDF diff........  0.0087413 	 	   0.045455 
max  eCDF diff........   0.017483 	 	   0.090909 

var ratio (Tr/Co).....     1.0814 	 	     1.1667 
T-test p-value........    0.92344 	 	    0.66138 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     14.909 
std mean diff.........    -7.9983 	 	     3.1993 

mean raw eQQ diff.....     2.7273 	 	     2.6364 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.056552 	 	   0.085227 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1822 	 	     1.2139 
T-test p-value........    0.82255 	 	     0.8791 
KS Bootstrap p-value..      0.804 	 	      0.972 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.63636 
std mean diff.........     199.46 	 	     90.453 

mean raw eQQ diff.....    0.63636 	 	    0.27273 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	    0.13636 
med  eCDF diff........     0.3007 	 	    0.13636 
max  eCDF diff........     0.6014 	 	    0.27273 

var ratio (Tr/Co).....    0.41035 	 	    0.35714 
T-test p-value........ 6.8831e-05 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.35926 	 	     0.3926 
std mean diff.........     25.962 	 	     21.904 

mean raw eQQ diff.....    0.25208 	 	    0.26762 
med  raw eQQ diff.....   0.069814 	 	   0.087851 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.091012 	 	   0.095238 
med  eCDF diff........   0.087413 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.27273 

var ratio (Tr/Co).....      12.32 	 	     10.518 
T-test p-value........    0.41574 	 	    0.36551 
KS Bootstrap p-value..      0.757 	 	      0.754 
KS Naive p-value......    0.88563 	 	    0.80792 
KS Statistic..........    0.20979 	 	    0.27273 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.52885 	 	    0.70455 
std mean diff.........     45.379 	 	     -6.742 

mean raw eQQ diff.....    0.15909 	 	   0.068182 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.12238 	 	   0.054545 
med  eCDF diff........    0.16434 	 	          0 
max  eCDF diff........    0.25175 	 	    0.18182 

var ratio (Tr/Co).....    0.68195 	 	    0.84034 
T-test p-value........    0.24928 	 	    0.83129 
KS Bootstrap p-value..      0.357 	 	      0.808 
KS Naive p-value......    0.71137 	 	    0.99336 
KS Statistic..........    0.25175 	 	    0.18182 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.12196 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.40249 
std mean diff.........      86.04 	 	     49.277 

mean raw eQQ diff.....    0.30222 	 	    0.17787 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.15152 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.3636 
T-test p-value........   0.022431 	 	    0.12196 
KS Bootstrap p-value..       0.03 	 	      0.679 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1406 
std mean diff.........    -102.23 	 	    -61.687 

mean raw eQQ diff.....    0.97669 	 	    0.64788 
med  raw eQQ diff.....    0.61071 	 	     0.3905 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.10909 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	     1.0746 
T-test p-value........   0.014791 	 	    0.14784 
KS Bootstrap p-value..      0.075 	 	       0.75 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	     0.2431 
std mean diff.........     30.036 	 	     17.787 

mean raw eQQ diff.....    0.12547 	 	   0.091457 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.33333 

mean eCDF diff........   0.083548 	 	    0.06993 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	     1.9565 
T-test p-value........    0.36946 	 	    0.18785 
KS Bootstrap p-value..      0.697 	 	      0.953 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.37093 
std mean diff.........     30.408 	 	      9.479 

mean raw eQQ diff.....   0.093899 	 	   0.054426 
med  raw eQQ diff.....        0.1 	 	   0.051948 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	   0.085859 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.27273 

var ratio (Tr/Co).....    0.93607 	 	    0.78683 
T-test p-value........    0.41277 	 	    0.70222 
KS Bootstrap p-value..      0.044 	 	      0.728 
KS Naive p-value......   0.090399 	 	    0.80792 
KS Statistic..........    0.44755 	 	    0.27273 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4597 
std mean diff.........    -61.379 	 	     5.5325 

mean raw eQQ diff.....    0.70577 	 	    0.39762 
med  raw eQQ diff.....    0.50132 	 	    0.27428 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.16883 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.36364 

var ratio (Tr/Co).....    0.23294 	 	     0.3956 
T-test p-value........    0.23342 	 	     0.8987 
KS Bootstrap p-value..      0.284 	 	      0.391 
KS Naive p-value......    0.45707 	 	    0.46107 
KS Statistic..........    0.30769 	 	    0.36364 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.25496 
std mean diff.........     10.704 	 	    -6.3225 

mean raw eQQ diff.....   0.056021 	 	    0.07002 
med  raw eQQ diff.....   0.045455 	 	   0.069697 
max  raw eQQ diff.....    0.11429 	 	       0.15 

mean eCDF diff........   0.077379 	 	   0.090909 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	    0.64275 
T-test p-value........    0.77034 	 	    0.68698 
KS Bootstrap p-value..      0.838 	 	      0.975 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.12196 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4025   0.5804   0.1779           0.1181   0.5293  1.5056         
ave.log.duration.prev5          2.1406   1.4927   -0.6479          0.4569   -0.6279 -1.4179        
ave.outcome.prev5               0.2431   0.3131   0.0700           0.0538   0.2046  1.3004         
ForceUS.prop.prev10             0.3709   0.3926   0.0217           0.0555   0.0890  0.3907         
ave.log.duration.prev10         2.4597   2.4882   0.0285           0.2185   0.0417  0.1305         
ave.outcome.prev10              0.2550   0.2423   -0.0127          0.0308   -0.0559 -0.4117        
---Overall Test---
      chisquare df p.value
strat      4.91  6   0.556
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     15 
$p.values
ForceUS     NPC 
  0.641   0.641 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.056578947 78.954605263 -0.004605263 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.12077594 77.19699265  0.03980716 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 4.9506579  1.2862912  0.3223684 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.9212405  1.6514628  0.2594997 

Closed Testing
Intersection 1 of 7 

*** primary inTerm.covs TRUE ***


Wed Apr 29 14:03:04 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.058527e-01  1.259335e-01  1.415828e-01  1.490070e-01  1.490070e-01  1.512134e-01  1.559068e-01  1.989686e-01  2.058362e-01  2.058362e-01  2.245263e-01  2.303173e-01  2.448473e-01  2.504725e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.404078e-01  3.620191e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.420679e-01  5.706690e-01  5.706690e-01  6.323282e-01  6.570488e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.058527e-01  1.259335e-01  1.415828e-01  1.490070e-01  1.490070e-01  1.512134e-01  1.559068e-01  1.989686e-01  2.058362e-01  2.058362e-01  2.245263e-01  2.303173e-01  2.448473e-01  2.504725e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.404078e-01  3.620191e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.420679e-01  5.706690e-01  5.706690e-01  6.323282e-01  6.570488e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	8.762004e+02
 X[ 2] :	2.748056e+02
 X[ 3] :	1.944813e+02
 X[ 4] :	4.493906e+02
 X[ 5] :	8.811166e+02
 X[ 6] :	2.550025e+02
 X[ 7] :	7.861003e+02
 X[ 8] :	9.729137e+02
 X[ 9] :	7.473914e+02
 X[10] :	6.031941e+02
 X[11] :	6.797157e+00
 X[12] :	4.003324e+02
 X[13] :	7.603629e+01
 X[14] :	4.085205e+02
 X[15] :	3.107840e+02
 X[16] :	4.002374e+02
 X[17] :	8.813103e+02
 X[18] :	8.916398e+02
 X[19] :	4.511680e+02
 X[20] :	9.027732e+02
 X[21] :	9.177596e+02
 X[22] :	8.801924e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 29 14:32:15 2015
Total run time : 0 hours 29 minutes and 11 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1        Hoover         1          0
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Fillmore         3          3
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7       Kennedy         9          3
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.54545 
std mean diff.........    -23.434 	 	    -17.408 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.061189 	 	   0.045455 
med  eCDF diff........   0.061189 	 	   0.045455 
max  eCDF diff........    0.12238 	 	   0.090909 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	    0.31895 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1906.9 
std mean diff.........    -32.151 	 	    -23.557 

mean raw eQQ diff.....     22.273 	 	     17.364 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         64 

mean eCDF diff........    0.12758 	 	   0.086124 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     1.6592 	 	    0.91497 
T-test p-value........    0.35591 	 	    0.19897 
KS Bootstrap p-value..      0.134 	 	      0.971 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.36364 
std mean diff.........    -19.405 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.048951 	 	          0 
med  eCDF diff........   0.048951 	 	          0 
max  eCDF diff........   0.097902 	 	          0 

var ratio (Tr/Co).....    0.98485 	 	          1 
T-test p-value........    0.59663 	 	          1 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.0586 
std mean diff.........    -26.764 	 	    -28.983 

mean raw eQQ diff.....    0.39031 	 	    0.77673 
med  raw eQQ diff.....     0.1431 	 	    0.78846 
max  raw eQQ diff.....     1.3863 	 	     2.1972 

mean eCDF diff........   0.093573 	 	    0.18182 
med  eCDF diff........   0.066434 	 	    0.18182 
max  eCDF diff........    0.26224 	 	    0.36364 

var ratio (Tr/Co).....     1.7416 	 	     2.7462 
T-test p-value........    0.43826 	 	    0.36202 
KS Bootstrap p-value..       0.45 	 	      0.338 
KS Naive p-value......    0.66243 	 	    0.46107 
KS Statistic..........    0.26224 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	          9 
std mean diff.........     -23.98 	 	    -41.565 

mean raw eQQ diff.....     1.9091 	 	     3.1818 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          9 

mean eCDF diff........    0.10233 	 	    0.12987 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	    0.58907 
T-test p-value........    0.51706 	 	    0.10585 
KS Bootstrap p-value..      0.518 	 	      0.693 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     4.5822 
std mean diff.........     24.214 	 	     43.364 

mean raw eQQ diff.....     1.2773 	 	     1.9357 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	    0.17424 
med  eCDF diff........     0.1049 	 	    0.13636 
max  eCDF diff........    0.22378 	 	    0.45455 

var ratio (Tr/Co).....    0.99228 	 	    0.67378 
T-test p-value........    0.50941 	 	    0.24485 
KS Bootstrap p-value..      0.607 	 	      0.129 
KS Naive p-value......    0.83366 	 	    0.20584 
KS Statistic..........    0.22378 	 	    0.45455 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.49037 
std mean diff.........      86.04 	 	     24.931 

mean raw eQQ diff.....    0.30222 	 	   0.095498 
med  raw eQQ diff.....        0.3 	 	   0.070175 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.30594 	 	    0.11364 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	    0.77035 
T-test p-value........   0.022431 	 	    0.25047 
KS Bootstrap p-value..      0.024 	 	      0.657 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0888 
std mean diff.........    -102.23 	 	    -56.752 

mean raw eQQ diff.....    0.97669 	 	    0.62333 
med  raw eQQ diff.....    0.61071 	 	    0.15852 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.090909 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.98307 
T-test p-value........   0.014791 	 	    0.15591 
KS Bootstrap p-value..      0.101 	 	      0.728 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.21734 
std mean diff.........     30.036 	 	     24.335 

mean raw eQQ diff.....    0.12547 	 	    0.13512 
med  raw eQQ diff.....   0.075758 	 	    0.11039 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.12397 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	       2.25 
T-test p-value........    0.36946 	 	    0.23032 
KS Bootstrap p-value..      0.699 	 	      0.653 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.53312 
std mean diff.........     30.408 	 	    -61.457 

mean raw eQQ diff.....   0.093899 	 	    0.18798 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.19318 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.42389 
T-test p-value........    0.41277 	 	    0.12593 
KS Bootstrap p-value..      0.042 	 	      0.377 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3339 
std mean diff.........    -61.379 	 	     29.955 

mean raw eQQ diff.....    0.70577 	 	    0.53736 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.30656 
T-test p-value........    0.23342 	 	    0.54207 
KS Bootstrap p-value..      0.333 	 	      0.175 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.33581 
std mean diff.........     10.704 	 	    -46.689 

mean raw eQQ diff.....   0.056021 	 	    0.12536 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.32143 

mean eCDF diff........   0.077379 	 	    0.14545 
med  eCDF diff........   0.073427 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.44239 
T-test p-value........    0.77034 	 	    0.14158 
KS Bootstrap p-value..      0.809 	 	      0.718 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -3.9332 
std mean diff.........    -36.062 	 	     13.982 

mean raw eQQ diff.....    0.77081 	 	    0.55067 
med  raw eQQ diff.....          0 	 	    0.16944 
max  raw eQQ diff.....     4.1458 	 	     2.8871 

mean eCDF diff........   0.090559 	 	   0.063636 
med  eCDF diff........   0.045455 	 	   0.045455 
max  eCDF diff........    0.35664 	 	    0.18182 

var ratio (Tr/Co).....    0.95614 	 	     1.4245 
T-test p-value........    0.33166 	 	    0.63233 
KS Bootstrap p-value..      0.139 	 	      0.919 
KS Naive p-value......     0.2792 	 	    0.99336 
KS Statistic..........    0.35664 	 	    0.18182 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     31.442 
std mean diff.........    -8.9051 	 	     14.104 

mean raw eQQ diff.....     3.9491 	 	     4.6659 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     13.667 	 	         14 

mean eCDF diff........   0.059543 	 	    0.11364 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	    0.97243 
T-test p-value........    0.80586 	 	    0.34041 
KS Bootstrap p-value..      0.874 	 	      0.732 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.45455 
std mean diff.........     3.4651 	 	    -18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.045455 
med  eCDF diff........  0.0087413 	 	   0.045455 
max  eCDF diff........   0.017483 	 	   0.090909 

var ratio (Tr/Co).....     1.0814 	 	    0.93333 
T-test p-value........    0.92344 	 	    0.57067 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     16.636 
std mean diff.........    -7.9983 	 	    -8.9581 

mean raw eQQ diff.....     2.7273 	 	     4.3636 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	         19 

mean eCDF diff........   0.056552 	 	     0.1039 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.1822 	 	     1.0171 
T-test p-value........    0.82255 	 	    0.65705 
KS Bootstrap p-value..      0.804 	 	      0.702 
KS Naive p-value......    0.96032 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.72727 
std mean diff.........     199.46 	 	     60.302 

mean raw eQQ diff.....    0.63636 	 	    0.18182 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	   0.090909 
med  eCDF diff........     0.3007 	 	   0.090909 
max  eCDF diff........     0.6014 	 	    0.18182 

var ratio (Tr/Co).....    0.41035 	 	    0.41667 
T-test p-value........ 6.8831e-05 	 	    0.14901 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	   0.090909 
std mean diff.........     17.395 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.026224 	 	          0 
med  eCDF diff........   0.026224 	 	          0 
max  eCDF diff........   0.052448 	 	          0 

var ratio (Tr/Co).....     2.3636 	 	          1 
T-test p-value........    0.60369 	 	          1 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.35926 	 	    0.29101 
std mean diff.........     25.962 	 	     34.267 

mean raw eQQ diff.....    0.25208 	 	    0.28858 
med  raw eQQ diff.....   0.069814 	 	   0.084546 
max  raw eQQ diff.....     2.0547 	 	     2.0547 

mean eCDF diff........   0.091012 	 	    0.14439 
med  eCDF diff........   0.087413 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.36364 

var ratio (Tr/Co).....      12.32 	 	     9.8737 
T-test p-value........    0.41574 	 	    0.15121 
KS Bootstrap p-value..      0.757 	 	       0.39 
KS Naive p-value......    0.88563 	 	    0.46107 
KS Statistic..........    0.20979 	 	    0.36364 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.52885 	 	        0.5 
std mean diff.........     45.379 	 	     53.936 

mean raw eQQ diff.....    0.15909 	 	    0.18182 
med  raw eQQ diff.....       0.25 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.12238 	 	    0.14545 
med  eCDF diff........    0.16434 	 	    0.18182 
max  eCDF diff........    0.25175 	 	    0.27273 

var ratio (Tr/Co).....    0.68195 	 	    0.56818 
T-test p-value........    0.24928 	 	    0.22453 
KS Bootstrap p-value..      0.357 	 	      0.515 
KS Naive p-value......    0.71137 	 	    0.80792 
KS Statistic..........    0.25175 	 	    0.27273 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.10585 
Variable Name(s): nMIDs.prev5  Number(s): 6 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.49037 
std mean diff.........      86.04 	 	     24.931 

mean raw eQQ diff.....    0.30222 	 	   0.095498 
med  raw eQQ diff.....        0.3 	 	   0.070175 
max  raw eQQ diff.....        0.7 	 	    0.28571 

mean eCDF diff........    0.30594 	 	    0.11364 
med  eCDF diff........    0.31119 	 	   0.090909 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	    0.77035 
T-test p-value........   0.022431 	 	    0.25047 
KS Bootstrap p-value..       0.03 	 	      0.698 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.0888 
std mean diff.........    -102.23 	 	    -56.752 

mean raw eQQ diff.....    0.97669 	 	    0.62333 
med  raw eQQ diff.....    0.61071 	 	    0.15852 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.090909 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.98307 
T-test p-value........   0.014791 	 	    0.15591 
KS Bootstrap p-value..      0.075 	 	      0.698 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.21734 
std mean diff.........     30.036 	 	     24.335 

mean raw eQQ diff.....    0.12547 	 	    0.13512 
med  raw eQQ diff.....   0.075758 	 	    0.11039 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	    0.12397 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	       2.25 
T-test p-value........    0.36946 	 	    0.23032 
KS Bootstrap p-value..      0.697 	 	      0.649 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.53312 
std mean diff.........     30.408 	 	    -61.457 

mean raw eQQ diff.....   0.093899 	 	    0.18798 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.19318 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.42389 
T-test p-value........    0.41277 	 	    0.12593 
KS Bootstrap p-value..      0.044 	 	      0.411 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3339 
std mean diff.........    -61.379 	 	     29.955 

mean raw eQQ diff.....    0.70577 	 	    0.53736 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.30656 
T-test p-value........    0.23342 	 	    0.54207 
KS Bootstrap p-value..      0.284 	 	      0.159 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.33581 
std mean diff.........     10.704 	 	    -46.689 

mean raw eQQ diff.....   0.056021 	 	    0.12536 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.32143 

mean eCDF diff........   0.077379 	 	    0.14545 
med  eCDF diff........   0.073427 	 	    0.18182 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.44239 
T-test p-value........    0.77034 	 	    0.14158 
KS Bootstrap p-value..      0.838 	 	      0.742 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.12593 
Variable Name(s): ForceUS.prop.prev10  Number(s): 4 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4904   0.5804   0.0900           0.0786   0.2326  1.1450         
ave.log.duration.prev5          2.0888   1.4927   -0.5960          0.4280   -0.5651 -1.3927        
ave.outcome.prev5               0.2173   0.3131   0.0957           0.0803   0.2864  1.1920         
ForceUS.prop.prev10             0.5331   0.3926   -0.1405          0.0942   -0.4742 -1.4914        
ave.log.duration.prev10         2.3339   2.4882   0.1544           0.2489   0.2052  0.6201         
ave.outcome.prev10              0.3358   0.2423   -0.0935          0.0650   -0.3657 -1.4381        
---Overall Test---
      chisquare df p.value
strat      6.39  6   0.381
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     26 
$p.values
ForceUS     NPC 
  0.025   0.025 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
-0.003203661 64.517467582 -0.001525553 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
-0.00043618 77.77780073 -0.04100092 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
-0.2627002  0.9990329  0.3252479 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.3691067  1.1490717  0.3726893 

Closed Testing
Intersection 1 of 7 

*** primary full.covs FALSE ***


Wed Apr 29 16:49:54 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	9.661138e-02  1.119072e-01  1.379267e-01  1.512345e-01  1.696597e-01  1.730998e-01  1.730998e-01  2.829570e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.371470e-01  4.109314e-01  4.610718e-01  4.610718e-01  5.554272e-01  6.613776e-01  6.613776e-01  7.209901e-01  7.362664e-01  7.612551e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.140380e-01  8.325877e-01  8.833384e-01  9.162924e-01  9.694672e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

      4 	1.087745e-01  1.111686e-01  1.433698e-01  1.730998e-01  1.730998e-01  2.179669e-01  3.026124e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.640165e-01  4.181208e-01  4.610718e-01  4.610718e-01  4.617940e-01  5.073991e-01  7.136649e-01  7.444787e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.190003e-01  8.325877e-01  8.376205e-01  8.596662e-01  9.362099e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     14 	1.087890e-01  1.497276e-01  1.644865e-01  1.730998e-01  1.730998e-01  1.845976e-01  2.211119e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.902746e-01  4.610718e-01  4.828968e-01  5.073991e-01  5.706690e-01  5.706690e-01  5.827246e-01  6.330983e-01  6.763357e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.092099e-01  8.168397e-01  8.325877e-01  8.376205e-01  8.819098e-01  9.338176e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

     15 	1.148064e-01  1.437723e-01  1.686339e-01  1.730998e-01  1.730998e-01  2.147468e-01  3.109189e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.640165e-01  4.159525e-01  4.562988e-01  4.610718e-01  4.610718e-01  5.153118e-01  7.057004e-01  7.382146e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.183883e-01  8.325877e-01  8.376205e-01  8.596662e-01  9.362099e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     16 	1.288201e-01  1.377595e-01  1.490070e-01  1.490070e-01  1.687846e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.294094e-01  2.603877e-01  2.640948e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.409732e-01  3.972691e-01  4.609770e-01  4.610718e-01  4.610718e-01  4.610718e-01  5.222552e-01  5.317012e-01  5.606545e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.373529e-01  8.027165e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.597220e-01  9.201706e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  

     18 	1.320792e-01  1.380246e-01  1.730998e-01  1.730998e-01  2.139366e-01  2.159112e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.342544e-01  4.177264e-01  4.518495e-01  4.610718e-01  4.610718e-01  4.673808e-01  5.893295e-01  7.804294e-01  8.047786e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.191613e-01  8.325877e-01  8.708740e-01  8.819740e-01  9.371871e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     19 	1.393645e-01  1.515636e-01  1.730998e-01  1.730998e-01  2.144918e-01  2.366020e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.267270e-01  4.207921e-01  4.342484e-01  4.610718e-01  4.610718e-01  5.153118e-01  5.655616e-01  7.975085e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.190003e-01  8.325877e-01  8.417485e-01  8.757426e-01  8.757585e-01  9.374581e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

     26 	1.496914e-01  1.730998e-01  1.730998e-01  1.855648e-01  2.058362e-01  2.157475e-01  2.922986e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.457081e-01  3.548750e-01  3.589088e-01  4.007189e-01  4.610718e-01  4.789914e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  7.393223e-01  7.708504e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.458637e-01  8.694992e-01  9.172887e-01  9.719248e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  

     27 	1.604414e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.114990e-01  2.425815e-01  2.596373e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.677858e-01  3.988267e-01  4.610718e-01  4.834101e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.966138e-01  5.999505e-01  6.819585e-01  6.933880e-01  7.176321e-01  8.005889e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.589956e-01  9.018252e-01  9.223101e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

     28 	1.604414e-01  1.730998e-01  1.730998e-01  2.058362e-01  2.425815e-01  2.499180e-01  2.652450e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.741500e-01  3.988267e-01  4.610718e-01  4.717014e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.706690e-01  5.785854e-01  5.999505e-01  6.766253e-01  7.110829e-01  7.213022e-01  8.005889e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.584253e-01  9.034998e-01  9.223889e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

     32 	1.730998e-01  1.730998e-01  1.774722e-01  2.058362e-01  2.363039e-01  2.480681e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.272303e-01  3.300071e-01  3.403259e-01  4.610718e-01  4.713122e-01  5.706690e-01  5.706690e-01  5.785854e-01  6.441380e-01  6.894424e-01  7.165714e-01  7.250087e-01  8.006858e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.578481e-01  9.087607e-01  9.238431e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

     34 	1.730998e-01  1.730998e-01  1.826925e-01  1.976911e-01  2.058362e-01  2.502741e-01  2.550122e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.645326e-01  3.900213e-01  4.610718e-01  4.709808e-01  5.534062e-01  6.613776e-01  6.613776e-01  6.766253e-01  6.770079e-01  6.894742e-01  7.252946e-01  7.822435e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.560731e-01  9.078608e-01  9.243639e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.730998e-01  1.730998e-01  1.826925e-01  1.976911e-01  2.058362e-01  2.502741e-01  2.550122e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.645326e-01  3.900213e-01  4.610718e-01  4.709808e-01  5.534062e-01  6.613776e-01  6.613776e-01  6.766253e-01  6.770079e-01  6.894742e-01  7.252946e-01  7.822435e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.325877e-01  8.560731e-01  9.078608e-01  9.243639e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	9.977099e+02
 X[ 2] :	2.404903e+02
 X[ 3] :	9.240671e+01
 X[ 4] :	4.276735e+02
 X[ 5] :	7.049432e+02
 X[ 6] :	4.587222e+02
 X[ 7] :	9.389386e+01
 X[ 8] :	2.005435e+02
 X[ 9] :	6.140182e+02
 X[10] :	7.943629e+01
 X[11] :	1.169623e+01
 X[12] :	8.835750e+02
 X[13] :	8.454618e+00
 X[14] :	3.765468e+02
 X[15] :	1.228035e+02
 X[16] :	7.870163e+01
 X[17] :	6.094932e+02
 X[18] :	3.891539e+02
 X[19] :	2.693959e+02
 X[20] :	3.093732e+02
 X[21] :	6.914496e+02
 X[22] :	8.803844e+02
 X[23] :	8.686238e+02
 X[24] :	1.673243e+02

Solution Found Generation 34
Number of Generations Run 45

Wed Apr 29 18:24:08 2015
Total run time : 1 hours 34 minutes and 14 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1         Grant         7          6
2       Monroe         6          6        Arthur         2          1
3      Jackson         4          4     Cleveland         9          6
4        Tyler         2          2  Adams, J. Q.         1          0
5         Polk         1          1     Van Buren         4          4
6  Johnson, A.         5          5      Buchanan         6          5
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7 Roosevelt, T.         9          7
11     Clinton        24         10          Ford         4          4

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.27273 
std mean diff.........     11.088 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.027972 	 	   0.045455 
med  eCDF diff........   0.027972 	 	   0.045455 
max  eCDF diff........   0.055944 	 	   0.090909 

var ratio (Tr/Co).....      1.149 	 	     1.1667 
T-test p-value........    0.75688 	 	    0.31895 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1902.9 
std mean diff.........    -32.151 	 	    -17.766 

mean raw eQQ diff.....     22.273 	 	     17.545 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         36 

mean eCDF diff........    0.12758 	 	    0.10331 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.27273 

var ratio (Tr/Co).....     1.6592 	 	     1.3609 
T-test p-value........    0.35591 	 	    0.36453 
KS Bootstrap p-value..      0.134 	 	      0.759 
KS Naive p-value......    0.16871 	 	    0.83259 
KS Statistic..........    0.37762 	 	    0.27273 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.27273 
std mean diff.........    -19.405 	 	     18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	     1.1667 
T-test p-value........    0.59663 	 	    0.31895 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.0339 
std mean diff.........    -26.764 	 	    -27.117 

mean raw eQQ diff.....    0.39031 	 	    0.45973 
med  raw eQQ diff.....     0.1431 	 	    0.29849 
max  raw eQQ diff.....     1.3863 	 	     1.3863 

mean eCDF diff........   0.093573 	 	    0.10303 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.27273 

var ratio (Tr/Co).....     1.7416 	 	     1.7282 
T-test p-value........    0.43826 	 	    0.25501 
KS Bootstrap p-value..       0.45 	 	      0.711 
KS Naive p-value......    0.66243 	 	    0.80792 
KS Statistic..........    0.26224 	 	    0.27273 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     7.2727 
std mean diff.........     -23.98 	 	    -12.316 

mean raw eQQ diff.....     1.9091 	 	     1.4545 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....          8 	 	          3 

mean eCDF diff........    0.10233 	 	   0.097902 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	      1.096 
T-test p-value........    0.51706 	 	    0.55341 
KS Bootstrap p-value..      0.518 	 	      0.672 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	      5.299 
std mean diff.........     24.214 	 	      13.72 

mean raw eQQ diff.....     1.2773 	 	     1.2193 
med  raw eQQ diff.....    0.77207 	 	    0.77207 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	    0.13636 
med  eCDF diff........     0.1049 	 	    0.13636 
max  eCDF diff........    0.22378 	 	    0.27273 

var ratio (Tr/Co).....    0.99228 	 	    0.58736 
T-test p-value........    0.50941 	 	    0.78224 
KS Bootstrap p-value..      0.607 	 	      0.696 
KS Naive p-value......    0.83366 	 	    0.80792 
KS Statistic..........    0.22378 	 	    0.27273 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.34583 
std mean diff.........      86.04 	 	     64.976 

mean raw eQQ diff.....    0.30222 	 	    0.23453 
med  raw eQQ diff.....        0.3 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.19697 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.2762 
T-test p-value........   0.022431 	 	    0.19769 
KS Bootstrap p-value..      0.024 	 	      0.686 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     1.9861 
std mean diff.........    -102.23 	 	    -46.972 

mean raw eQQ diff.....    0.97669 	 	    0.50759 
med  raw eQQ diff.....    0.61071 	 	    0.33098 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.08134 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.18182 

var ratio (Tr/Co).....    0.64038 	 	    0.77451 
T-test p-value........   0.014791 	 	    0.18269 
KS Bootstrap p-value..      0.101 	 	      0.974 
KS Naive p-value......     0.1315 	 	    0.99336 
KS Statistic..........    0.41958 	 	    0.18182 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.25996 
std mean diff.........     30.036 	 	     13.501 

mean raw eQQ diff.....    0.12547 	 	     0.1049 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.083916 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	      2.249 
T-test p-value........    0.36946 	 	    0.67663 
KS Bootstrap p-value..      0.699 	 	      0.943 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.34995 
std mean diff.........     30.408 	 	     18.656 

mean raw eQQ diff.....   0.093899 	 	     0.0655 
med  raw eQQ diff.....        0.1 	 	   0.055556 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	    0.12299 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	      0.747 
T-test p-value........    0.41277 	 	    0.72529 
KS Bootstrap p-value..      0.042 	 	      0.394 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3706 
std mean diff.........    -61.379 	 	     22.822 

mean raw eQQ diff.....    0.70577 	 	    0.43869 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20779 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	     0.3812 
T-test p-value........    0.23342 	 	    0.67701 
KS Bootstrap p-value..      0.333 	 	      0.175 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.25291 
std mean diff.........     10.704 	 	       -5.3 

mean raw eQQ diff.....   0.056021 	 	   0.069104 
med  raw eQQ diff.....   0.045455 	 	   0.070513 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.077379 	 	   0.090909 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	     0.7833 
T-test p-value........    0.77034 	 	    0.90786 
KS Bootstrap p-value..      0.809 	 	      0.968 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -2.6804 
std mean diff.........    -36.062 	 	    -39.103 

mean raw eQQ diff.....    0.77081 	 	    0.92283 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     4.1458 

mean eCDF diff........   0.090559 	 	   0.081818 
med  eCDF diff........   0.045455 	 	   0.045455 
max  eCDF diff........    0.35664 	 	    0.27273 

var ratio (Tr/Co).....    0.95614 	 	    0.91045 
T-test p-value........    0.33166 	 	    0.39002 
KS Bootstrap p-value..      0.139 	 	        0.6 
KS Naive p-value......     0.2792 	 	    0.80792 
KS Statistic..........    0.35664 	 	    0.27273 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     34.796 
std mean diff.........    -8.9051 	 	    -2.9557 

mean raw eQQ diff.....     3.9491 	 	     3.6853 
med  raw eQQ diff.....     3.0065 	 	     2.4545 
max  raw eQQ diff.....     13.667 	 	        8.5 

mean eCDF diff........   0.059543 	 	   0.063636 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.18182 

var ratio (Tr/Co).....     1.0491 	 	    0.89366 
T-test p-value........    0.80586 	 	    0.92436 
KS Bootstrap p-value..      0.874 	 	      0.981 
KS Naive p-value......    0.97217 	 	    0.99336 
KS Statistic..........    0.17483 	 	    0.18182 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.27273 
std mean diff.........     3.4651 	 	     18.019 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.045455 
med  eCDF diff........  0.0087413 	 	   0.045455 
max  eCDF diff........   0.017483 	 	   0.090909 

var ratio (Tr/Co).....     1.0814 	 	     1.1667 
T-test p-value........    0.92344 	 	    0.31895 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     14.727 
std mean diff.........    -7.9983 	 	     4.4791 

mean raw eQQ diff.....     2.7273 	 	     2.2727 
med  raw eQQ diff.....          2 	 	          2 
max  raw eQQ diff.....          9 	 	          6 

mean eCDF diff........   0.056552 	 	   0.068182 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.18182 

var ratio (Tr/Co).....     1.1822 	 	     1.3824 
T-test p-value........    0.82255 	 	    0.85607 
KS Bootstrap p-value..      0.804 	 	       0.97 
KS Naive p-value......    0.96032 	 	    0.99336 
KS Statistic..........    0.18182 	 	    0.18182 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.63636 
std mean diff.........     199.46 	 	     90.453 

mean raw eQQ diff.....    0.63636 	 	    0.27273 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	    0.13636 
med  eCDF diff........     0.3007 	 	    0.13636 
max  eCDF diff........     0.6014 	 	    0.27273 

var ratio (Tr/Co).....    0.41035 	 	    0.35714 
T-test p-value........ 6.8831e-05 	 	     0.1731 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	          0 
std mean diff.........     17.395 	 	     30.151 

mean raw eQQ diff.....          0 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........   0.026224 	 	   0.045455 
med  eCDF diff........   0.026224 	 	   0.045455 
max  eCDF diff........   0.052448 	 	   0.090909 

var ratio (Tr/Co).....     2.3636 	 	        Inf 
T-test p-value........    0.60369 	 	    0.31895 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.35926 	 	    0.41143 
std mean diff.........     25.962 	 	     19.613 

mean raw eQQ diff.....    0.25208 	 	     0.2531 
med  raw eQQ diff.....   0.069814 	 	   0.073221 
max  raw eQQ diff.....     2.0547 	 	     2.0813 

mean eCDF diff........   0.091012 	 	   0.069264 
med  eCDF diff........   0.087413 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.18182 

var ratio (Tr/Co).....      12.32 	 	     10.304 
T-test p-value........    0.41574 	 	    0.47098 
KS Bootstrap p-value..      0.757 	 	      0.982 
KS Naive p-value......    0.88563 	 	    0.99336 
KS Statistic..........    0.20979 	 	    0.18182 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.52885 	 	    0.63636 
std mean diff.........     45.379 	 	     13.484 

mean raw eQQ diff.....    0.15909 	 	   0.090909 
med  raw eQQ diff.....       0.25 	 	          0 
max  raw eQQ diff.....        0.5 	 	       0.25 

mean eCDF diff........    0.12238 	 	   0.072727 
med  eCDF diff........    0.16434 	 	   0.090909 
max  eCDF diff........    0.25175 	 	   0.090909 

var ratio (Tr/Co).....    0.68195 	 	    0.68027 
T-test p-value........    0.24928 	 	    0.68947 
KS Bootstrap p-value..      0.357 	 	      0.998 
KS Naive p-value......    0.71137 	 	          1 
KS Statistic..........    0.25175 	 	   0.090909 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.34615 	 	    0.45455 
std mean diff.........     38.163 	 	     17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.09965 	 	   0.045455 
med  eCDF diff........    0.09965 	 	   0.045455 
max  eCDF diff........     0.1993 	 	   0.090909 

var ratio (Tr/Co).....     1.1586 	 	          1 
T-test p-value........    0.29322 	 	    0.66138 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     8.6364 	 	     8.6364 
mean control..........     7.7308 	 	     5.9091 
std mean diff.........     11.109 	 	     33.455 

mean raw eQQ diff.....     2.9091 	 	     3.4545 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....         10 	 	         14 

mean eCDF diff........   0.068619 	 	   0.099174 
med  eCDF diff........    0.06993 	 	   0.090909 
max  eCDF diff........    0.15734 	 	    0.27273 

var ratio (Tr/Co).....    0.96979 	 	     6.8574 
T-test p-value........    0.76183 	 	    0.25027 
KS Bootstrap p-value..      0.883 	 	      0.646 
KS Naive p-value......    0.99092 	 	    0.80792 
KS Statistic..........    0.15734 	 	    0.27273 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.1731 
Variable Name(s): DemDR  Number(s): 19 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.34583 
std mean diff.........      86.04 	 	     64.976 

mean raw eQQ diff.....    0.30222 	 	    0.23453 
med  raw eQQ diff.....        0.3 	 	        0.2 
max  raw eQQ diff.....        0.7 	 	        0.5 

mean eCDF diff........    0.30594 	 	    0.19697 
med  eCDF diff........    0.31119 	 	    0.18182 
max  eCDF diff........    0.47203 	 	    0.27273 

var ratio (Tr/Co).....     1.5688 	 	     1.2762 
T-test p-value........   0.022431 	 	    0.19769 
KS Bootstrap p-value..       0.03 	 	      0.702 
KS Naive p-value......   0.063838 	 	    0.80792 
KS Statistic..........    0.47203 	 	    0.27273 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     1.9861 
std mean diff.........    -102.23 	 	    -46.972 

mean raw eQQ diff.....    0.97669 	 	    0.50759 
med  raw eQQ diff.....    0.61071 	 	    0.33098 
max  raw eQQ diff.....     2.3128 	 	     1.6147 

mean eCDF diff........    0.21606 	 	    0.08134 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.18182 

var ratio (Tr/Co).....    0.64038 	 	    0.77451 
T-test p-value........   0.014791 	 	    0.18269 
KS Bootstrap p-value..      0.075 	 	      0.964 
KS Naive p-value......     0.1315 	 	    0.99336 
KS Statistic..........    0.41958 	 	    0.18182 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.25996 
std mean diff.........     30.036 	 	     13.501 

mean raw eQQ diff.....    0.12547 	 	     0.1049 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	    0.42857 

mean eCDF diff........   0.083548 	 	   0.083916 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.18182 

var ratio (Tr/Co).....     2.8484 	 	      2.249 
T-test p-value........    0.36946 	 	    0.67663 
KS Bootstrap p-value..      0.697 	 	      0.953 
KS Naive p-value......    0.92835 	 	    0.99336 
KS Statistic..........     0.1958 	 	    0.18182 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.34995 
std mean diff.........     30.408 	 	     18.656 

mean raw eQQ diff.....   0.093899 	 	     0.0655 
med  raw eQQ diff.....        0.1 	 	   0.055556 
max  raw eQQ diff.....    0.16667 	 	      0.125 

mean eCDF diff........    0.14577 	 	    0.12299 
med  eCDF diff........    0.10839 	 	   0.090909 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	      0.747 
T-test p-value........    0.41277 	 	    0.72529 
KS Bootstrap p-value..      0.044 	 	      0.401 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.3706 
std mean diff.........    -61.379 	 	     22.822 

mean raw eQQ diff.....    0.70577 	 	    0.43869 
med  raw eQQ diff.....    0.50132 	 	    0.31807 
max  raw eQQ diff.....     1.8581 	 	     1.4299 

mean eCDF diff........    0.15647 	 	    0.20779 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	     0.3812 
T-test p-value........    0.23342 	 	    0.67701 
KS Bootstrap p-value..      0.284 	 	      0.156 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.25291 
std mean diff.........     10.704 	 	       -5.3 

mean raw eQQ diff.....   0.056021 	 	   0.069104 
med  raw eQQ diff.....   0.045455 	 	   0.070513 
max  raw eQQ diff.....    0.11429 	 	    0.13462 

mean eCDF diff........   0.077379 	 	   0.090909 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.18182 

var ratio (Tr/Co).....    0.96673 	 	     0.7833 
T-test p-value........    0.77034 	 	    0.90786 
KS Bootstrap p-value..      0.838 	 	      0.972 
KS Naive p-value......    0.96658 	 	    0.99336 
KS Statistic..........    0.17832 	 	    0.18182 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.156 
Variable Name(s): ave.log.duration.prev10  Number(s): 5 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.3458   0.5804   0.2345           0.1841   0.6881  1.2740         
ave.log.duration.prev5          1.9861   1.4927   -0.4933          0.3753   -0.4389 -1.3146        
ave.outcome.prev5               0.2600   0.3131   0.0531           0.1247   0.1589  0.4260         
ForceUS.prop.prev10             0.3500   0.3926   0.0427           0.1187   0.1725  0.3593         
ave.log.duration.prev10         2.3706   2.4882   0.1176           0.2764   0.1696  0.4255         
ave.outcome.prev10              0.2529   0.2423   -0.0106          0.0895   -0.0497 -0.1186        
---Overall Test---
      chisquare df p.value
strat      4.74  6   0.577
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     30 
$p.values
ForceUS     NPC 
  0.336   0.336 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
 0.170040486 92.842105263  0.004048583 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.1667716 88.6266463  0.1123180 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
13.6032389  1.9510336  0.9068826 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 1.6184534  2.0011259  0.6192458 

Closed Testing
Intersection 1 of 7 

*** primary full.covs TRUE ***


Wed Apr 29 20:41:31 2015
Domains:
 0.000000e+00   <=  X1   <=    1.000000e+03 
 0.000000e+00   <=  X2   <=    1.000000e+03 
 0.000000e+00   <=  X3   <=    1.000000e+03 
 0.000000e+00   <=  X4   <=    1.000000e+03 
 0.000000e+00   <=  X5   <=    1.000000e+03 
 0.000000e+00   <=  X6   <=    1.000000e+03 
 0.000000e+00   <=  X7   <=    1.000000e+03 
 0.000000e+00   <=  X8   <=    1.000000e+03 
 0.000000e+00   <=  X9   <=    1.000000e+03 
 0.000000e+00   <=  X10  <=    1.000000e+03 
 0.000000e+00   <=  X11  <=    1.000000e+03 
 0.000000e+00   <=  X12  <=    1.000000e+03 
 0.000000e+00   <=  X13  <=    1.000000e+03 
 0.000000e+00   <=  X14  <=    1.000000e+03 
 0.000000e+00   <=  X15  <=    1.000000e+03 
 0.000000e+00   <=  X16  <=    1.000000e+03 
 0.000000e+00   <=  X17  <=    1.000000e+03 
 0.000000e+00   <=  X18  <=    1.000000e+03 
 0.000000e+00   <=  X19  <=    1.000000e+03 
 0.000000e+00   <=  X20  <=    1.000000e+03 
 0.000000e+00   <=  X21  <=    1.000000e+03 
 0.000000e+00   <=  X22  <=    1.000000e+03 
 0.000000e+00   <=  X23  <=    1.000000e+03 
 0.000000e+00   <=  X24  <=    1.000000e+03 

Data Type: Floating Point
Operators (code number, name, population) 
	(1) Cloning........................... 	1249
	(2) Uniform Mutation.................. 	1250
	(3) Boundary Mutation................. 	1250
	(4) Non-Uniform Mutation.............. 	1250
	(5) Polytope Crossover................ 	1250
	(6) Simple Crossover.................. 	1250
	(7) Whole Non-Uniform Mutation........ 	1250
	(8) Heuristic Crossover............... 	1250
	(9) Local-Minimum Crossover........... 	0

SOFT Maximum Number of Generations: 100
Maximum Nonchanging Generations: 10
Population size       : 10000
Convergence Tolerance: 1.000000e-03

Not Using the BFGS Derivative Based Optimizer on the Best Individual Each Generation.
Not Checking Gradients before Stopping.
Using Out of Bounds Individuals.

Maximization Problem.


Generation#	    Solution Values (lexical)

      0 	1.394238e-01  1.473998e-01  1.490070e-01  1.490070e-01  1.562965e-01  1.755647e-01  1.871139e-01  2.058362e-01  2.088288e-01  2.231940e-01  2.479174e-01  2.566483e-01  2.610649e-01  2.731474e-01  2.959052e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.910803e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  7.998741e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.373624e-01  8.845216e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

'wait.generations' limit reached.
No significant improvement in 10 generations.

Solution Lexical Fitness Value:
1.394238e-01  1.473998e-01  1.490070e-01  1.490070e-01  1.562965e-01  1.755647e-01  1.871139e-01  2.058362e-01  2.088288e-01  2.231940e-01  2.479174e-01  2.566483e-01  2.610649e-01  2.731474e-01  2.959052e-01  3.189527e-01  3.189527e-01  3.189527e-01  3.189527e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.610718e-01  4.910803e-01  5.706690e-01  5.706690e-01  6.613776e-01  6.613776e-01  7.998741e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.079242e-01  8.373624e-01  8.845216e-01  9.933560e-01  9.933560e-01  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  

Parameters at the Solution:

 X[ 1] :	6.237342e+02
 X[ 2] :	6.436144e+02
 X[ 3] :	4.211242e+02
 X[ 4] :	3.467524e+02
 X[ 5] :	1.710103e+02
 X[ 6] :	1.059022e+01
 X[ 7] :	1.142171e+02
 X[ 8] :	5.445398e+02
 X[ 9] :	3.744187e+02
 X[10] :	2.445541e+02
 X[11] :	7.717366e+01
 X[12] :	5.906135e+02
 X[13] :	1.416855e+02
 X[14] :	7.056694e+02
 X[15] :	6.499374e+02
 X[16] :	7.473966e+02
 X[17] :	7.462742e+02
 X[18] :	6.589007e+01
 X[19] :	7.686447e+02
 X[20] :	3.487632e+02
 X[21] :	7.640540e+02
 X[22] :	8.826637e+02
 X[23] :	1.268511e+02
 X[24] :	9.324997e+02

Solution Found Generation 1
Number of Generations Run 11

Wed Apr 29 21:19:31 2015
Total run time : 0 hours 38 minutes and 0 seconds
         NameS PrimMIDsS AloneMIDsS         NameN PrimMIDsN AloneMIDsN
1      Madison         1          1     Van Buren         4          4
2       Monroe         6          6  Adams, J. Q.         1          0
3      Jackson         4          4  Adams, J. Q.         1          0
4        Tyler         2          2      Fillmore         3          3
5         Polk         1          1  Adams, J. Q.         1          0
6  Johnson, A.         5          5     Cleveland         9          6
7       Wilson        15         13 Roosevelt, F.        10          8
8       Truman         6          4         Obama         4          3
9  Johnson, L.        22         15       Kennedy         9          3
10      Carter         9          7       Kennedy         9          3
11     Clinton        24         10   Bush, G. W.        24         20

***** (V1) great.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.45455 	 	    0.45455 
mean control..........    0.57692 	 	    0.45455 
std mean diff.........    -23.434 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.061189 	 	          0 
med  eCDF diff........   0.061189 	 	          0 
max  eCDF diff........    0.12238 	 	          0 

var ratio (Tr/Co).....     1.0744 	 	          1 
T-test p-value........    0.51853 	 	          1 


***** (V2) super.power *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.30769 	 	    0.36364 
std mean diff.........     11.088 	 	          0 

mean raw eQQ diff.....   0.090909 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          0 

mean eCDF diff........   0.027972 	 	          0 
med  eCDF diff........   0.027972 	 	          0 
max  eCDF diff........   0.055944 	 	          0 

var ratio (Tr/Co).....      1.149 	 	          1 
T-test p-value........    0.75688 	 	          1 


***** (V3) TermStartYear *****
                       Before Matching 	 	 After Matching
mean treatment........     1890.6 	 	     1890.6 
mean control..........     1912.8 	 	     1901.1 
std mean diff.........    -32.151 	 	    -15.134 

mean raw eQQ diff.....     22.273 	 	     12.273 
med  raw eQQ diff.....         16 	 	         16 
max  raw eQQ diff.....         44 	 	         24 

mean eCDF diff........    0.12758 	 	   0.066986 
med  eCDF diff........   0.083916 	 	   0.090909 
max  eCDF diff........    0.37762 	 	    0.18182 

var ratio (Tr/Co).....     1.6592 	 	    0.88092 
T-test p-value........    0.35591 	 	     0.1474 
KS Bootstrap p-value..      0.134 	 	      0.975 
KS Naive p-value......    0.16871 	 	    0.99336 
KS Statistic..........    0.37762 	 	    0.18182 


***** (V4) ongoing.mid *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.46154 	 	    0.45455 
std mean diff.........    -19.405 	 	    -18.019 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.048951 	 	   0.045455 
med  eCDF diff........   0.048951 	 	   0.045455 
max  eCDF diff........   0.097902 	 	   0.090909 

var ratio (Tr/Co).....    0.98485 	 	    0.93333 
T-test p-value........    0.59663 	 	    0.57067 


***** (V5) log.yrs.since.war *****
                       Before Matching 	 	 After Matching
mean treatment........     1.6741 	 	     1.6741 
mean control..........     2.0292 	 	     2.1852 
std mean diff.........    -26.764 	 	    -38.525 

mean raw eQQ diff.....    0.39031 	 	    0.66747 
med  raw eQQ diff.....     0.1431 	 	    0.31015 
max  raw eQQ diff.....     1.3863 	 	     2.1972 

mean eCDF diff........   0.093573 	 	    0.13223 
med  eCDF diff........   0.066434 	 	   0.090909 
max  eCDF diff........    0.26224 	 	    0.36364 

var ratio (Tr/Co).....     1.7416 	 	     2.1667 
T-test p-value........    0.43826 	 	    0.29591 
KS Bootstrap p-value..       0.45 	 	      0.325 
KS Naive p-value......    0.66243 	 	    0.46107 
KS Statistic..........    0.26224 	 	    0.36364 


***** (V6) nMIDs.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     6.5455 	 	     6.5455 
mean control..........     7.9615 	 	     8.6364 
std mean diff.........     -23.98 	 	    -35.407 

mean raw eQQ diff.....     1.9091 	 	     3.1818 
med  raw eQQ diff.....          1 	 	          2 
max  raw eQQ diff.....          8 	 	          9 

mean eCDF diff........    0.10233 	 	    0.13287 
med  eCDF diff........   0.097902 	 	   0.090909 
max  eCDF diff........    0.23427 	 	    0.27273 

var ratio (Tr/Co).....    0.93446 	 	    0.56746 
T-test p-value........    0.51706 	 	    0.17556 
KS Bootstrap p-value..      0.518 	 	      0.686 
KS Naive p-value......    0.78997 	 	    0.80792 
KS Statistic..........    0.23427 	 	    0.27273 


***** (V7) TermYrsAdj *****
                       Before Matching 	 	 After Matching
mean treatment........     5.6308 	 	     5.6308 
mean control..........     5.0452 	 	     4.9461 
std mean diff.........     24.214 	 	     28.316 

mean raw eQQ diff.....     1.2773 	 	     1.5723 
med  raw eQQ diff.....    0.77207 	 	     1.1636 
max  raw eQQ diff.....     4.1068 	 	     4.1068 

mean eCDF diff........    0.10537 	 	    0.14685 
med  eCDF diff........     0.1049 	 	   0.090909 
max  eCDF diff........    0.22378 	 	    0.36364 

var ratio (Tr/Co).....    0.99228 	 	    0.60462 
T-test p-value........    0.50941 	 	    0.49108 
KS Bootstrap p-value..      0.607 	 	      0.331 
KS Naive p-value......    0.83366 	 	    0.46107 
KS Statistic..........    0.22378 	 	    0.36364 


***** (V8) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.43734 
std mean diff.........      86.04 	 	     39.623 

mean raw eQQ diff.....    0.30222 	 	    0.14302 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	    0.15455 
med  eCDF diff........    0.31119 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.36364 

var ratio (Tr/Co).....     1.5688 	 	    0.70939 
T-test p-value........   0.022431 	 	    0.13942 
KS Bootstrap p-value..      0.024 	 	      0.353 
KS Naive p-value......   0.063838 	 	    0.46107 
KS Statistic..........    0.47203 	 	    0.36364 


***** (V9) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1472 
std mean diff.........    -102.23 	 	    -62.314 

mean raw eQQ diff.....    0.97669 	 	    0.73969 
med  raw eQQ diff.....    0.61071 	 	    0.26135 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.096257 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.62718 
T-test p-value........   0.014791 	 	    0.22319 
KS Bootstrap p-value..      0.101 	 	       0.74 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V10) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.20976 
std mean diff.........     30.036 	 	     26.261 

mean raw eQQ diff.....    0.12547 	 	    0.13388 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     3.4197 
T-test p-value........    0.36946 	 	    0.25665 
KS Bootstrap p-value..      0.699 	 	      0.666 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V11) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.51765 
std mean diff.........     30.408 	 	    -54.688 

mean raw eQQ diff.....   0.093899 	 	    0.18614 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.18182 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.39748 
T-test p-value........    0.41277 	 	    0.18711 
KS Bootstrap p-value..      0.042 	 	      0.382 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V12) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4438 
std mean diff.........    -61.379 	 	     8.6195 

mean raw eQQ diff.....    0.70577 	 	    0.68415 
med  raw eQQ diff.....    0.50132 	 	    0.71029 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.21024 
T-test p-value........    0.23342 	 	    0.88452 
KS Bootstrap p-value..      0.333 	 	      0.154 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V13) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.31644 
std mean diff.........     10.704 	 	    -37.018 

mean raw eQQ diff.....   0.056021 	 	    0.10144 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.077379 	 	    0.11688 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.47985 
T-test p-value........    0.77034 	 	    0.26106 
KS Bootstrap p-value..      0.809 	 	      0.697 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


***** (V14) ongoing.war *****
                       Before Matching 	 	 After Matching
mean treatment........    0.18182 	 	    0.18182 
mean control..........    0.11538 	 	   0.090909 
std mean diff.........     16.423 	 	     22.473 

mean raw eQQ diff.....   0.090909 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........   0.033217 	 	   0.045455 
med  eCDF diff........   0.033217 	 	   0.045455 
max  eCDF diff........   0.066434 	 	   0.090909 

var ratio (Tr/Co).....     1.5415 	 	        1.8 
T-test p-value........    0.63609 	 	    0.31895 


***** (V15) log.war.dead.pct *****
                       Before Matching 	 	 After Matching
mean treatment........    -3.6032 	 	    -3.6032 
mean control..........    -2.7522 	 	    -3.7259 
std mean diff.........    -36.062 	 	     5.1982 

mean raw eQQ diff.....    0.77081 	 	    0.23303 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....     4.1458 	 	     1.0264 

mean eCDF diff........   0.090559 	 	   0.036364 
med  eCDF diff........   0.045455 	 	          0 
max  eCDF diff........    0.35664 	 	   0.090909 

var ratio (Tr/Co).....    0.95614 	 	    0.99476 
T-test p-value........    0.33166 	 	    0.83736 
KS Bootstrap p-value..      0.139 	 	          1 
KS Naive p-value......     0.2792 	 	          1 
KS Statistic..........    0.35664 	 	   0.090909 


***** (V16) elitevet.imput *****
                       Before Matching 	 	 After Matching
mean treatment........     34.215 	 	     34.215 
mean control..........     35.965 	 	     31.129 
std mean diff.........    -8.9051 	 	     15.699 

mean raw eQQ diff.....     3.9491 	 	     4.5854 
med  raw eQQ diff.....     3.0065 	 	          4 
max  raw eQQ diff.....     13.667 	 	         14 

mean eCDF diff........   0.059543 	 	    0.13068 
med  eCDF diff........   0.050699 	 	   0.090909 
max  eCDF diff........    0.17483 	 	    0.27273 

var ratio (Tr/Co).....     1.0491 	 	    0.96218 
T-test p-value........    0.80586 	 	    0.27315 
KS Bootstrap p-value..      0.874 	 	      0.729 
KS Naive p-value......    0.97217 	 	    0.80792 
KS Statistic..........    0.17483 	 	    0.27273 


***** (V17) South1.prev *****
                       Before Matching 	 	 After Matching
mean treatment........    0.36364 	 	    0.36364 
mean control..........    0.34615 	 	    0.54545 
std mean diff.........     3.4651 	 	    -36.037 

mean raw eQQ diff.....          0 	 	    0.18182 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          1 

mean eCDF diff........  0.0087413 	 	   0.090909 
med  eCDF diff........  0.0087413 	 	   0.090909 
max  eCDF diff........   0.017483 	 	    0.18182 

var ratio (Tr/Co).....     1.0814 	 	    0.93333 
T-test p-value........    0.92344 	 	    0.14901 


***** (V18) nMIDs.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     15.364 	 	     15.364 
mean control..........       16.5 	 	     16.091 
std mean diff.........    -7.9983 	 	    -5.1189 

mean raw eQQ diff.....     2.7273 	 	     4.1818 
med  raw eQQ diff.....          2 	 	          3 
max  raw eQQ diff.....          9 	 	         19 

mean eCDF diff........   0.056552 	 	   0.097403 
med  eCDF diff........   0.045455 	 	   0.090909 
max  eCDF diff........    0.18182 	 	    0.27273 

var ratio (Tr/Co).....     1.1822 	 	    0.95897 
T-test p-value........    0.82255 	 	    0.79987 
KS Bootstrap p-value..      0.804 	 	      0.701 
KS Naive p-value......    0.96032 	 	    0.80792 
KS Statistic..........    0.18182 	 	    0.27273 


***** (V19) DemDR *****
                       Before Matching 	 	 After Matching
mean treatment........    0.90909 	 	    0.90909 
mean control..........    0.30769 	 	    0.81818 
std mean diff.........     199.46 	 	     30.151 

mean raw eQQ diff.....    0.63636 	 	   0.090909 
med  raw eQQ diff.....          1 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........     0.3007 	 	   0.045455 
med  eCDF diff........     0.3007 	 	   0.045455 
max  eCDF diff........     0.6014 	 	   0.090909 

var ratio (Tr/Co).....    0.41035 	 	    0.55556 
T-test p-value........ 6.8831e-05 	 	    0.31895 


***** (V20) Whig *****
                       Before Matching 	 	 After Matching
mean treatment........   0.090909 	 	   0.090909 
mean control..........   0.038462 	 	   0.090909 
std mean diff.........     17.395 	 	          0 

mean raw eQQ diff.....          0 	 	          0 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          0 	 	          0 

mean eCDF diff........   0.026224 	 	          0 
med  eCDF diff........   0.026224 	 	          0 
max  eCDF diff........   0.052448 	 	          0 

var ratio (Tr/Co).....     2.3636 	 	          1 
T-test p-value........    0.60369 	 	          1 


***** (V21) proprec *****
                       Before Matching 	 	 After Matching
mean treatment........    0.57258 	 	    0.57258 
mean control..........    0.35926 	 	    0.27702 
std mean diff.........     25.962 	 	      35.97 

mean raw eQQ diff.....    0.25208 	 	    0.30257 
med  raw eQQ diff.....   0.069814 	 	   0.084546 
max  raw eQQ diff.....     2.0547 	 	     2.1983 

mean eCDF diff........   0.091012 	 	    0.14439 
med  eCDF diff........   0.087413 	 	   0.090909 
max  eCDF diff........    0.20979 	 	    0.36364 

var ratio (Tr/Co).....      12.32 	 	     12.768 
T-test p-value........    0.41574 	 	     0.1563 
KS Bootstrap p-value..      0.757 	 	       0.39 
KS Naive p-value......    0.88563 	 	    0.46107 
KS Statistic..........    0.20979 	 	    0.36364 


***** (V22) unified *****
                       Before Matching 	 	 After Matching
mean treatment........    0.68182 	 	    0.68182 
mean control..........    0.52885 	 	    0.52273 
std mean diff.........     45.379 	 	     47.194 

mean raw eQQ diff.....    0.15909 	 	    0.20455 
med  raw eQQ diff.....       0.25 	 	       0.25 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........    0.12238 	 	    0.16364 
med  eCDF diff........    0.16434 	 	    0.18182 
max  eCDF diff........    0.25175 	 	    0.27273 

var ratio (Tr/Co).....    0.68195 	 	    0.49261 
T-test p-value........    0.24928 	 	    0.24792 
KS Bootstrap p-value..      0.357 	 	      0.517 
KS Naive p-value......    0.71137 	 	    0.80792 
KS Statistic..........    0.25175 	 	    0.27273 


***** (V23) military.experience *****
                       Before Matching 	 	 After Matching
mean treatment........    0.54545 	 	    0.54545 
mean control..........    0.34615 	 	    0.63636 
std mean diff.........     38.163 	 	    -17.408 

mean raw eQQ diff.....    0.18182 	 	   0.090909 
med  raw eQQ diff.....          0 	 	          0 
max  raw eQQ diff.....          1 	 	          1 

mean eCDF diff........    0.09965 	 	   0.045455 
med  eCDF diff........    0.09965 	 	   0.045455 
max  eCDF diff........     0.1993 	 	   0.090909 

var ratio (Tr/Co).....     1.1586 	 	     1.0714 
T-test p-value........    0.29322 	 	    0.66138 


***** (V24) nMIDsPrim *****
                       Before Matching 	 	 After Matching
mean treatment........     8.6364 	 	     8.6364 
mean control..........     7.7308 	 	     6.8182 
std mean diff.........     11.109 	 	     22.304 

mean raw eQQ diff.....     2.9091 	 	     2.3636 
med  raw eQQ diff.....          1 	 	          1 
max  raw eQQ diff.....         10 	 	         12 

mean eCDF diff........   0.068619 	 	   0.082645 
med  eCDF diff........    0.06993 	 	   0.090909 
max  eCDF diff........    0.15734 	 	    0.18182 

var ratio (Tr/Co).....    0.96979 	 	     1.4714 
T-test p-value........    0.76183 	 	    0.20883 
KS Bootstrap p-value..      0.883 	 	       0.95 
KS Naive p-value......    0.99092 	 	    0.99336 
KS Statistic..........    0.15734 	 	    0.18182 


Before Matching Minimum p.value: 6.8831e-05 
Variable Name(s): DemDR  Number(s): 19 

After Matching Minimum p.value: 0.13942 
Variable Name(s): ForceUS.prop.prev5  Number(s): 8 


Number of observations deleted due to missingness: 0 

***** (V1) ForceUS.prop.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.58036 	 	    0.58036 
mean control..........     0.2698 	 	    0.43734 
std mean diff.........      86.04 	 	     39.623 

mean raw eQQ diff.....    0.30222 	 	    0.14302 
med  raw eQQ diff.....        0.3 	 	    0.13636 
max  raw eQQ diff.....        0.7 	 	    0.33333 

mean eCDF diff........    0.30594 	 	    0.15455 
med  eCDF diff........    0.31119 	 	    0.13636 
max  eCDF diff........    0.47203 	 	    0.36364 

var ratio (Tr/Co).....     1.5688 	 	    0.70939 
T-test p-value........   0.022431 	 	    0.13942 
KS Bootstrap p-value..       0.03 	 	       0.35 
KS Naive p-value......   0.063838 	 	    0.46107 
KS Statistic..........    0.47203 	 	    0.36364 


***** (V2) ave.log.duration.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........     1.4927 	 	     1.4927 
mean control..........     2.5664 	 	     2.1472 
std mean diff.........    -102.23 	 	    -62.314 

mean raw eQQ diff.....    0.97669 	 	    0.73969 
med  raw eQQ diff.....    0.61071 	 	    0.26135 
max  raw eQQ diff.....     2.3128 	 	     2.1672 

mean eCDF diff........    0.21606 	 	   0.096257 
med  eCDF diff........    0.20629 	 	   0.090909 
max  eCDF diff........    0.41958 	 	    0.27273 

var ratio (Tr/Co).....    0.64038 	 	    0.62718 
T-test p-value........   0.014791 	 	    0.22319 
KS Bootstrap p-value..      0.075 	 	      0.713 
KS Naive p-value......     0.1315 	 	    0.80792 
KS Statistic..........    0.41958 	 	    0.27273 


***** (V3) ave.outcome.prev5 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.31307 	 	    0.31307 
mean control..........    0.19492 	 	    0.20976 
std mean diff.........     30.036 	 	     26.261 

mean raw eQQ diff.....    0.12547 	 	    0.13388 
med  raw eQQ diff.....   0.075758 	 	       0.05 
max  raw eQQ diff.....        0.5 	 	        0.5 

mean eCDF diff........   0.083548 	 	   0.090909 
med  eCDF diff........    0.08042 	 	   0.090909 
max  eCDF diff........     0.1958 	 	    0.27273 

var ratio (Tr/Co).....     2.8484 	 	     3.4197 
T-test p-value........    0.36946 	 	    0.25665 
KS Bootstrap p-value..      0.697 	 	      0.665 
KS Naive p-value......    0.92835 	 	    0.80792 
KS Statistic..........     0.1958 	 	    0.27273 


***** (V4) ForceUS.prop.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.39261 	 	    0.39261 
mean control..........    0.32308 	 	    0.51765 
std mean diff.........     30.408 	 	    -54.688 

mean raw eQQ diff.....   0.093899 	 	    0.18614 
med  raw eQQ diff.....        0.1 	 	    0.13675 
max  raw eQQ diff.....    0.16667 	 	        0.5 

mean eCDF diff........    0.14577 	 	    0.18182 
med  eCDF diff........    0.10839 	 	    0.18182 
max  eCDF diff........    0.44755 	 	    0.36364 

var ratio (Tr/Co).....    0.93607 	 	    0.39748 
T-test p-value........    0.41277 	 	    0.18711 
KS Bootstrap p-value..      0.044 	 	      0.407 
KS Naive p-value......   0.090399 	 	    0.46107 
KS Statistic..........    0.44755 	 	    0.36364 


***** (V5) ave.log.duration.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........     2.4882 	 	     2.4882 
mean control..........     2.8045 	 	     2.4438 
std mean diff.........    -61.379 	 	     8.6195 

mean raw eQQ diff.....    0.70577 	 	    0.68415 
med  raw eQQ diff.....    0.50132 	 	    0.71029 
max  raw eQQ diff.....     1.8581 	 	     1.5063 

mean eCDF diff........    0.15647 	 	    0.20202 
med  eCDF diff........    0.15909 	 	    0.18182 
max  eCDF diff........    0.30769 	 	    0.45455 

var ratio (Tr/Co).....    0.23294 	 	    0.21024 
T-test p-value........    0.23342 	 	    0.88452 
KS Bootstrap p-value..      0.284 	 	      0.166 
KS Naive p-value......    0.45707 	 	    0.20584 
KS Statistic..........    0.30769 	 	    0.45455 


***** (V6) ave.outcome.prev10 *****
                       Before Matching 	 	 After Matching
mean treatment........    0.24229 	 	    0.24229 
mean control..........    0.22085 	 	    0.31644 
std mean diff.........     10.704 	 	    -37.018 

mean raw eQQ diff.....   0.056021 	 	    0.10144 
med  raw eQQ diff.....   0.045455 	 	    0.11429 
max  raw eQQ diff.....    0.11429 	 	    0.21429 

mean eCDF diff........   0.077379 	 	    0.11688 
med  eCDF diff........   0.073427 	 	   0.090909 
max  eCDF diff........    0.17832 	 	    0.27273 

var ratio (Tr/Co).....    0.96673 	 	    0.47985 
T-test p-value........    0.77034 	 	    0.26106 
KS Bootstrap p-value..      0.838 	 	      0.717 
KS Naive p-value......    0.96658 	 	    0.80792 
KS Statistic..........    0.17832 	 	    0.27273 


Before Matching Minimum p.value: 0.014791 
Variable Name(s): ave.log.duration.prev5  Number(s): 2 

After Matching Minimum p.value: 0.13942 
Variable Name(s): ForceUS.prop.prev5  Number(s): 1 

                        strata    strat                                                            
                        stat   South1=0 South1=1 adj.diff adj.diff.null.sd std.diff    z           
vars                                                                                               
ForceUS.prop.prev5              0.4373   0.5804   0.1430           0.0990   0.3610  1.4452         
ave.log.duration.prev5          2.1472   1.4927   -0.6545          0.5412   -0.5471 -1.2093        
ave.outcome.prev5               0.2098   0.3131   0.1033           0.0913   0.3267  1.1310         
ForceUS.prop.prev10             0.5176   0.3926   -0.1250          0.0960   -0.4125 -1.3024        
ave.log.duration.prev10         2.4438   2.4882   0.0444           0.2984   0.0508  0.1488         
ave.outcome.prev10              0.3164   0.2423   -0.0741          0.0661   -0.2981 -1.1211        
---Overall Test---
      chisquare df p.value
strat      6.33  6   0.387
---
Signif. codes:  0 ‘***’ 0.001 ‘** ’ 0.01 ‘*  ’ 0.05 ‘.  ’ 0.1 ‘   ’ 1 

Number of observations deleted due to missingness: 0 

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    nu0 <- sum(!is.na(y[tr != tl]))
    nu1 <- sum(!is.na(y[tr == tl]))
    return(nu1 - nu0)
}
<environment: namespace:NPC>

Observed test statistics:
ForceUS 
     20 
$p.values
ForceUS     NPC 
  0.171   0.171 


*** mean ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, ...) 
{
    mean.default(y[tr == tl]) - mean.default(y[tr != tl])
}
<environment: namespace:NPC>

Observed test statistics:
    ForceUS  DurationUS   OutcomeUS 
 0.01824561 72.58877193  0.01122807 

Closed Testing
Intersection 1 of 7 

*** harmonic ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 DurationUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

 OutcomeUS 
function (y, tr, tl, block, ...) 
{
    df <- data.frame(y, tr, block)
    gdf <- dplyr::group_by(df, block)
    sdf <- dplyr::summarise(gdf, diff = mean.default(y[tr == 
        tl]) - mean.default(y[tr != tl]), Nt <- sum(tr == tl), 
        Nc <- sum(tr != tl), wt = 2 * Nt * Nc/(Nt + Nc))
    return(weighted.mean(sdf$diff, sdf$wt))
}
<environment: namespace:NPC>

Observed test statistics:
     ForceUS   DurationUS    OutcomeUS 
-0.005486685 80.000022957 -0.041000918 

Closed Testing
Intersection 1 of 7 

*** rank ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

 DurationUS 
function (y, tr, tl, event, block, ...) 
{
    if (is.null(block)) {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl))
    }
    else {
        lr <- coin::surv_test(Surv(y, event) ~ factor(tr == tl) | 
            factor(block))
    }
    return(coin::statistic(lr, "test"))
}
<environment: namespace:NPC>

 OutcomeUS 
function(y, tr, tl, ...) {
    Ri <- rank(y)
    return(mean.default(Ri[tr == tl]) - mean.default(Ri[tr != tl]))
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
  1.550877   1.011664   1.562807 

Closed Testing
Intersection 1 of 7 

*** hlm ***

Number of observations deleted due to missingness: 0 

 ForceUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- glmer(y ~ factor(tr==tl) + (1 | cluster), family = binomial("logit"))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

 DurationUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- coxme(Surv(y, event) ~ factor(tr==tl) + (1 | cluster))
    -fixef(mod) / sqrt(vcov(mod)) ## -1 bc coef is for hazard rate
  }

 OutcomeUS 
function (y, tr, tl, event, cluster, ...) {
    mod <- lmer(y ~ factor(tr==tl) + (1 | cluster))
    fixef(mod)[2] / sqrt(vcov(mod)[2, 2])
  }

Observed test statistics:
   ForceUS DurationUS  OutcomeUS 
 0.5372738  1.4571843  0.5153627 

Closed Testing
Intersection 1 of 7 
